Job summary

Candidates who are currently employed by SEL ICB and receive Inner London HCAS will retain their existing HCAS entitlement if appointed to a clustered SAE role, which will be offered through SEL London.This is on the basis that their office base will remain at the current, inner London, location.

Are you a technical leader who can turn data strategy into operational capability?

We are looking for an exceptional Head of BI Platforms & DataOps to provide operational and technical leadership for the capability supporting analytics across South East and South West London.This is a senior technical, operational and people leadership role for someone who can translate strategic priorities into effective technical services, lead multidisciplinary specialist teams and retain the technical credibility to challenge and assure Data Engineering, Data Science and analytical approaches.Working within the strategic direction of the Intelligence & Insights leadership team, you will be responsible for turning ambition into delivery--establishing the platforms, engineering standards, operating practices, automation and service disciplines required to provide reliable, scalable and efficient analytical services.You will lead a modern DataOps capability that enables analysts and Data Scientists to work faster, more consistently and with greater confidence in the data, platforms and analytical products they use.

Main duties of the job

The Opportunity

You will have the opportunity to shape and mature the DataOps capability supporting analytics across South East and South West London, bringing together Data Engineering, Data Science, platform engineering, automation, data quality, orchestration and MLOps into a coherent and increasingly integrated service.

Working across Microsoft Fabric, Snowflake and the wider Azure ecosystem, you will influence not only the technology we use, but how technical capability is organised, engineered and operationalised.

You will translate strategic priorities into practical technical and operational delivery, establishing effective standards, services and ways of working while ensuring that the DataOps capability responds to the needs of the wider analytical function.

Your remit will extend beyond the immediate DataOps team. Working with analytical teams and wider stakeholders, you will identify where better engineering, standardisation and automation can remove unnecessary manual effort, improve reliability and enable faster analytical delivery.

This is an opportunity to combine technical leadership, people leadership and service development to create a scalable DataOps capability with demonstrable impact across the wider analytical function.

About us

In 2025, the boards of NHS South East London ICB and NHS South West London ICB entered into a clustering arrangement, meaning that we share a chair, chief executive officer and an executive team, but we remain as separate, statutory organisations.

This also means that the ICBs will share some teams, who will be working across both organisations. Some teams will also be working across both geographical areas and integrated care systems.

ICBs are also changing, with a clear focus on strategic commissioning and delivering neighbourhood working.

This is an exciting time to work within our ICBs. We currently have the opportunity both to shape the future of our clustered organisations, and to be part of a radical transformation of care for the local people and communities across south London.

And while our two ICBs are different in some ways, improving lives for the people we serve is at the core of what we are both here to do.

Please note as you can only be employed by one ICB, this job description refers to 'the 'ICB', but your role may cover both ICB organisations, and / or geographical areas.

Equality and Diversity

The ICB is committed to providing services and employment to a community with an increasing variety of backgrounds. To do this effectively it is essential that we promote equality and embrace diversity and treat everyone with dignity and respect. This includes a focus on building a just culture.

Details

Date posted

08 October 2026

Pay scheme

Agenda for change

Band

Band 8c

Salary

£85,641 to £97,746 a year Salary Inclusive of Outer High Cost Area Allowance

Contract

Permanent

Working pattern

Full-time

Reference number

491-SWL-S3-SLBI03-A

Job locations

120 the Broadway

South West London ICB (120 The Broadway)

Wimbledon

SW19 1RH

United Kingdom

Job description

Job responsibilities

We are looking for an accomplished technical leader who can operate comfortably across technology, people, operations and delivery while understanding how their area contributes to wider strategic priorities.

You will have sufficient technical depth to understand complex data architecture and engineering, interrogate proposed solutions and constructively challenge technical approaches while maintaining sight of the organisational and analytical problems that technology is intended to solve.

You will understand how data pipelines, orchestration, transformation logic, analytical data models, cloud platforms and software engineering disciplines combine to create reliable analytical services.

You will also understand what is required to move technical solutions from development into stable production operationincluding CI/CD, version control, automated testing, monitoring, change control, reusable code, common data models and MLOps.

Crucially, we are looking for someone who can provide genuine technical leadership rather than simply manage technical specialists.

You will be comfortable operating across organisational levelsleading specialist technical teams, working collaboratively with analytical and operational colleagues, and providing clear technical advice, assurance and recommendations to Deputy Directors and senior leaders.

You will be pragmatic, collaborative and inclusive, able to create an environment in which Data Engineering, Data Science, DataOps and Analytics operate as interconnected capabilities rather than isolated technical disciplines.

What makes the role different?

The defining proposition of this role is totranslate data strategy into operational capability.

You will take strategic priorities and turn them into effective technical services, engineering standards, delivery plans and operational practices that enable data and analytics to move efficiently and reliably from source to insight.

This means looking beyond individual technologies and technical products to understand how the overall service performs: where processes are unnecessarily manual, where technical debt constrains delivery, where engineering patterns should be standardised, where greater reuse is possible and where automation can release analytical capacity.

Success will not therefore be measured simply by the number of pipelines, models or technical products delivered. It will be demonstrated through measurable improvements in the performance and effectiveness of the analytical function.

What will you do?

• Provide operational and technical leadership of the DataOps capability translate strategic priorities into effective technical services, operating practices, standards and delivery plans, ensuring the capability is reliable, responsive and aligned with the needs of the wider analytical function.
• Provide technical leadership and assurance across architecture, engineering and analytical platforms challenge technical approaches, guide architectural decisions and ensure solutions are appropriately designed for performance, resilience, security, maintainability, scalability and reuse.
• Lead data orchestration, transformation and production engineering establish robust and consistent approaches to ingestion, ETL/ELT, transformation, analytical data modelling, deployment, monitoring and production operation.
• Drive automation and productivity across DataOps and the wider analytical function identify manual, repetitive and inefficient processes and use engineering, Data Science and automation to release capacity and accelerate analytical delivery.
• Lead the development and optimisation of Microsoft Fabric, Snowflake and Azure capabilities ensure platform architecture, performance, capacity, scalability, resilience and cost are actively managed and aligned with analytical requirements.
• Establish and assure modern DataOps, DevOps and MLOps disciplines embed version control, automated testing, CI/CD, monitoring, deployment pipelines, reusable code, change control and appropriate model deployment and monitoring practices..

Demonstrating measurable benefit

We want to see evidence that the DataOps capability is making the wider analytical function more effective.

Success could include reducing the time analysts spend acquiring, cleaning and transforming data; automating repetitive analytical and operational processes; reducing pipeline failures and manual interventions; improving data quality and timeliness; increasing reuse of curated datasets, transformation logic, models and code; reducing the time required to move analytical and Data Science products into production; improving cloud performance and cost-effectiveness; and releasing analytical capacity for higher-value work.

You will establish the measures required to demonstrate these benefits and use them to inform operational priorities, continuous improvement and recommendations to senior leadership.

The question we want the capability continually to ask is: How can technology, engineering and automation make our analytical function more effective?

Why join us?

You will lead a multidisciplinary technical capability operating at the intersection of Data Engineering, Data Science and Analytics across South East and South West London, supporting teams working with complex health and care data.

The role provides the opportunity to translate strategic priorities into practical technical capability while remaining sufficiently close to delivery to understand how architecture, engineering, platforms, automation and operational decisions affect analytical services.

You will work with senior leaders, technical specialists and analytical teams, giving you the opportunity to influence technical direction, improve service performance and establish stronger connections between technology investment and analytical value.

You will be joining at an important stage in the development of our data environment, with the opportunity to help establish a mature, integrated and measurable DataOps capability that enables better analytical delivery and decision-making.

If you are a technically credible leader who combines operational leadership, analytical judgement, strong people leadership and a determination to turn strategic priorities into measurable technical and analytical capability, we would like to hear from you.

• Lead, operationalise and continuously improve the DataOps function provide strategic, technical and operational leadership across Data Engineering, Data Science and DataOps, establishing a high-performing service that demonstrably improves the speed, quality and reliability of analytical delivery.
• Provide technical leadership for data architecture, engineering and analytical model development set and assure standards for data structures, transformation logic, common data models, code, analytical models and production solutions, ensuring they are robust, scalable, reusable and maintainable. The JD specifically places responsibility for architecture and operation of the platforms with this role.
• Lead data orchestration, transformation and production engineering design and optimise automated ETL/ELT pipelines covering ingestion, wrangling, cleansing, transformation, validation, modelling and delivery, reducing unnecessary manual intervention and improving the flow of data from source to insight.
• Drive automation and measurable productivity improvement across the wider Insights function proactively identify repetitive, inefficient or manually intensive processes that can be automated or redesigned, releasing analyst capacity for higher-value analytical work.
• Lead the architecture, operation and optimisation of Microsoft Fabric, Snowflake and associated cloud technologies ensuring platforms are secure, performant, resilient, appropriately governed and cost-effective, including active management of platform capacity and consumption. This reflects the JD's explicit responsibility for both platforms, including budget, resource and performance management.
• Establish mature DataOps, DevOps and MLOps practices implement CI/CD, version control, automated testing, monitoring, deployment and change-control processes, and create the environments necessary to move Data Science and Machine Learning models reliably from experimentation into production.

Please see job description for full detail of main responsibilities.

Job description Job responsibilities We are looking for an accomplished technical leader who can operate comfortably across technology, people, operations and delivery while understanding how their area contributes to wider strategic priorities. You will have sufficient technical depth to understand complex data architecture and engineering, interrogate proposed solutions and constructively challenge technical approaches while maintaining sight of the organisational and analytical problems that technology is intended to solve. You will understand how data pipelines, orchestration, transformation logic, analytical data models, cloud platforms and software engineering disciplines combine to create reliable analytical services. You will also understand what is required to move technical solutions from development into stable production operationincluding CI/CD, version control, automated testing, monitoring, change control, reusable code, common data models and MLOps. Crucially, we are looking for someone who can provide genuine technical leadership rather than simply manage technical specialists. You will be comfortable operating across organisational levelsleading specialist technical teams, working collaboratively with analytical and operational colleagues, and providing clear technical advice, assurance and recommendations to Deputy Directors and senior leaders. You will be pragmatic, collaborative and inclusive, able to create an environment in which Data Engineering, Data Science, DataOps and Analytics operate as interconnected capabilities rather than isolated technical disciplines. What makes the role different? The defining proposition of this role is totranslate data strategy into operational capability. You will take strategic priorities and turn them into effective technical services, engineering standards, delivery plans and operational practices that enable data and analytics to move efficiently and reliably from source to insight. This means looking beyond individual technologies and technical products to understand how the overall service performs: where processes are unnecessarily manual, where technical debt constrains delivery, where engineering patterns should be standardised, where greater reuse is possible and where automation can release analytical capacity. Success will not therefore be measured simply by the number of pipelines, models or technical products delivered. It will be demonstrated through measurable improvements in the performance and effectiveness of the analytical function. What will you do? Provide operational and technical leadership of the DataOps capability translate strategic priorities into effective technical services, operating practices, standards and delivery plans, ensuring the capability is reliable, responsive and aligned with the needs of the wider analytical function. Provide technical leadership and assurance across architecture, engineering and analytical platforms challenge technical approaches, guide architectural decisions and ensure solutions are appropriately designed for performance, resilience, security, maintainability, scalability and reuse. Lead data orchestration, transformation and production engineering establish robust and consistent approaches to ingestion, ETL/ELT, transformation, analytical data modelling, deployment, monitoring and production operation. Drive automation and productivity across DataOps and the wider analytical function identify manual, repetitive and inefficient processes and use engineering, Data Science and automation to release capacity and accelerate analytical delivery. Lead the development and optimisation of Microsoft Fabric, Snowflake and Azure capabilities ensure platform architecture, performance, capacity, scalability, resilience and cost are actively managed and aligned with analytical requirements. Establish and assure modern DataOps, DevOps and MLOps disciplines embed version control, automated testing, CI/CD, monitoring, deployment pipelines, reusable code, change control and appropriate model deployment and monitoring practices.. Demonstrating measurable benefit We want to see evidence that the DataOps capability is making the wider analytical function more effective. Success could include reducing the time analysts spend acquiring, cleaning and transforming data; automating repetitive analytical and operational processes; reducing pipeline failures and manual interventions; improving data quality and timeliness; increasing reuse of curated datasets, transformation logic, models and code; reducing the time required to move analytical and Data Science products into production; improving cloud performance and cost-effectiveness; and releasing analytical capacity for higher-value work. You will establish the measures required to demonstrate these benefits and use them to inform operational priorities, continuous improvement and recommendations to senior leadership. The question we want the capability continually to ask is: How can technology, engineering and automation make our analytical function more effective? Why join us? You will lead a multidisciplinary technical capability operating at the intersection of Data Engineering, Data Science and Analytics across South East and South West London, supporting teams working with complex health and care data. The role provides the opportunity to translate strategic priorities into practical technical capability while remaining sufficiently close to delivery to understand how architecture, engineering, platforms, automation and operational decisions affect analytical services. You will work with senior leaders, technical specialists and analytical teams, giving you the opportunity to influence technical direction, improve service performance and establish stronger connections between technology investment and analytical value. You will be joining at an important stage in the development of our data environment, with the opportunity to help establish a mature, integrated and measurable DataOps capability that enables better analytical delivery and decision-making. If you are a technically credible leader who combines operational leadership, analytical judgement, strong people leadership and a determination to turn strategic priorities into measurable technical and analytical capability, we would like to hear from you. Lead, operationalise and continuously improve the DataOps function provide strategic, technical and operational leadership across Data Engineering, Data Science and DataOps, establishing a high-performing service that demonstrably improves the speed, quality and reliability of analytical delivery. Provide technical leadership for data architecture, engineering and analytical model development set and assure standards for data structures, transformation logic, common data models, code, analytical models and production solutions, ensuring they are robust, scalable, reusable and maintainable. The JD specifically places responsibility for architecture and operation of the platforms with this role. Lead data orchestration, transformation and production engineering design and optimise automated ETL/ELT pipelines covering ingestion, wrangling, cleansing, transformation, validation, modelling and delivery, reducing unnecessary manual intervention and improving the flow of data from source to insight. Drive automation and measurable productivity improvement across the wider Insights function proactively identify repetitive, inefficient or manually intensive processes that can be automated or redesigned, releasing analyst capacity for higher-value analytical work. Lead the architecture, operation and optimisation of Microsoft Fabric, Snowflake and associated cloud technologies ensuring platforms are secure, performant, resilient, appropriately governed and cost-effective, including active management of platform capacity and consumption. This reflects the JD's explicit responsibility for both platforms, including budget, resource and performance management. Establish mature DataOps, DevOps and MLOps practices implement CI/CD, version control, automated testing, monitoring, deployment and change-control processes, and create the environments necessary to move Data Science and Machine Learning models reliably from experimentation into production. Please see job description for full detail of main responsibilities.

Person Specification

Qualifications

Essential

• Educated to master's level or equivalent level of experience working at a senior level in a specialist area, with additional in-depth professional knowledge and continuous professional development in own discipline
• Evidence of continued professional development

Desirable

• Relevant certifications in Cloud systems, database architecture and related subjects

Experience needed - general or specific

Essential

• Extensive experience in Azure infrastructure design, deployment and management, ideally in an NHS setting
• Demonstrable experience in maintaining an enterprise level Snowflake environment, including credit management, RBAC, and security governance, ideally in an NHS setting
• Expert level experience in administration and configuration of GitHub and Azure DevOps code repositories for multi team use
• Experience and understanding of performance and change management, business planning, budget setting and monitoring, and contracting processes, in a health setting.
• Experience of managing the delivery and improvement of services within a complex and diverse organisation.
• Experience of leading teams, setting strategic and operational objectives, designing personal development plans, and resolving conflict situations
• Experience of supporting the development of strategies to meet changing organisational needs and acting as the technical subject matter expert across an entire directorate or Organisation.
• Experience of inter-agency working and the development of joint projects, working with stakeholders to define success criteria, improve performance, and maximize efficiencies
• Experience in leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems
• Extensive experience in reviewing and amending large volumes of complex code and identifying performance issues and/or bugs checking for adherence to coding best practice and local standards,
• Experience in working under pressure and in uncertain and highly politically sensitive environments

Desirable

• Extensive experience in deploying, configuring, fine tuning, and managing Snowflake environments and components
• Experience in leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems
• Experience in liaising with ICT, IG, cyber security and other related disciplines and internal and external teams to ensure their timely cooperation on projects that require their input or sign off

Skill and Ability

Essential

• The ability to identify, define, promote, communicate and achieve clear organisational values and goals, effective management processes, and rational and timely decision taking
• The ability to work in partnership with lead commissioners, clinicians and health care professionals within and outside the ICB and a partnership approach to working across organisations.
• The ability to analyse complex issues, to think and plan to achieve both tactical and strategic objectives, and to exercise sound judgement in the face of conflicting pressures.
• The skills to evaluate and learn from outcomes, with a clear commitment to innovation, learning and improvement.
• Effectiveness in conflict resolution and management.
• Ability to provide and receive highly complex, sensitive, confidential, or contentious information to a range of technical and non technical stakeholders, including senior management, negotiating and influencing them on difficult subjects.
• Problem solving skills and ability to prioritise and respond effectively to unplanned and conflicting demands.
• Autonomous strategic thinking abilities, to anticipate and mitigate against problems, formulating and adjusting plans as required, and briefing senior management whenever appropriate.

What the service user expects from the post holder

Essential

• Stamina, energy and enthusiasm, and the ability to work effectively under pressure
• Strong leadership influencing, negotiating and interpersonal skills
• A collaborative management style, which recognizes and values personal contributions and agenda and encourages team working
• Robust knowledge of NHS IG principles and practical understanding of how to achieve compliance with legal requirements, particularly in relation to the processing of sensitive information

Desirable

• Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their implications for South London

Person Specification Qualifications Essential Educated to master's level or equivalent level of experience working at a senior level in a specialist area, with additional in-depth professional knowledge and continuous professional development in own discipline Evidence of continued professional development Desirable Relevant certifications in Cloud systems, database architecture and related subjects Experience needed - general or specific Essential Extensive experience in Azure infrastructure design, deployment and management, ideally in an NHS setting Demonstrable experience in maintaining an enterprise level Snowflake environment, including credit management, RBAC, and security governance, ideally in an NHS setting Expert level experience in administration and configuration of GitHub and Azure DevOps code repositories for multi team use Experience and understanding of performance and change management, business planning, budget setting and monitoring, and contracting processes, in a health setting. Experience of managing the delivery and improvement of services within a complex and diverse organisation. Experience of leading teams, setting strategic and operational objectives, designing personal development plans, and resolving conflict situations Experience of supporting the development of strategies to meet changing organisational needs and acting as the technical subject matter expert across an entire directorate or Organisation. Experience of inter-agency working and the development of joint projects, working with stakeholders to define success criteria, improve performance, and maximize efficiencies Experience in leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems Extensive experience in reviewing and amending large volumes of complex code and identifying performance issues and/or bugs checking for adherence to coding best practice and local standards, Experience in working under pressure and in uncertain and highly politically sensitive environments Desirable Extensive experience in deploying, configuring, fine tuning, and managing Snowflake environments and components Experience in leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems Experience in liaising with ICT, IG, cyber security and other related disciplines and internal and external teams to ensure their timely cooperation on projects that require their input or sign off Skill and Ability Essential The ability to identify, define, promote, communicate and achieve clear organisational values and goals, effective management processes, and rational and timely decision taking The ability to work in partnership with lead commissioners, clinicians and health care professionals within and outside the ICB and a partnership approach to working across organisations. The ability to analyse complex issues, to think and plan to achieve both tactical and strategic objectives, and to exercise sound judgement in the face of conflicting pressures. The skills to evaluate and learn from outcomes, with a clear commitment to innovation, learning and improvement. Effectiveness in conflict resolution and management. Ability to provide and receive highly complex, sensitive, confidential, or contentious information to a range of technical and non technical stakeholders, including senior management, negotiating and influencing them on difficult subjects. Problem solving skills and ability to prioritise and respond effectively to unplanned and conflicting demands. Autonomous strategic thinking abilities, to anticipate and mitigate against problems, formulating and adjusting plans as required, and briefing senior management whenever appropriate. What the service user expects from the post holder Essential Stamina, energy and enthusiasm, and the ability to work effectively under pressure Strong leadership influencing, negotiating and interpersonal skills A collaborative management style, which recognizes and values personal contributions and agenda and encourages team working Robust knowledge of NHS IG principles and practical understanding of how to achieve compliance with legal requirements, particularly in relation to the processing of sensitive information Desirable Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their implications for South London

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

South West London Integrated Care Board

Address

120 the Broadway

South West London ICB (120 The Broadway)

Wimbledon

SW19 1RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Employer details

Employer name

South West London Integrated Care Board

Address

120 the Broadway

South West London ICB (120 The Broadway)

Wimbledon

SW19 1RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Job summary

Can you turn advanced Data Science into measurable improvements in healthcare?

We are looking for an exceptional Senior Data Scientist who combines deep technical expertise and methodological rigour with strategic thinking, collaboration and a strong focus on measurable impact.

This is a senior technical Data Science leadership role, rather than a conventional analytical post. We are looking for someone who can identify where Data Science can make a meaningful difference, select and challenge the appropriate methodology, develop technically rigorous solutions and help take them through to operational use.

You will work across Data Science, Data Engineering and Analytics, applying advanced statistical, Machine Learning and AI approaches to complex healthcare and organisational problems and ensuring that successful solutions are reproducible, scalable and capable of delivering measurable value. This reflects the JD's requirement for technical leadership, methodological authority, advanced modelling and translation of strategic and operational challenges into Data Science problems.

Main duties of the job

The Opportunity

You will have the opportunity to help shape and mature Data Science across South East and South West London, applying advanced methods to challenges spanning Population Health Management, strategic commissioning, inequalities, planning and service improvement.

The opportunity goes beyond developing sophisticated models. You will influence how Data Science is operationalised--strengthening methodological standards, Reproducible Analytical Pipelines, automation, model validation and assurance, and the integration of Data Science with Data Engineering and Analytics.

You will have scope to identify high-value problems, determine the appropriate analytical methodologies and help take successful solutions from experimentation through to deployment, monitoring and evaluation.

Working across technical, analytical and healthcare teams, you will help turn advanced Data Science into reproducible, scalable and sustainable analytical products with demonstrable organisational and healthcare value.

About us

In 2025, the boards of NHS South East London ICB and NHS South West London ICB entered into a clustering arrangement, meaning that we share a chair, chief executive officer and an executive team, but we remain as separate, statutory organisations.

This also means that the ICBs will share some teams, who will be working across both organisations. Some teams will also be working across both geographical areas and integrated care systems.

ICBs are also changing, with a clear focus on strategic commissioning and delivering neighbourhood working.

This is an exciting time to work within our ICBs. We currently have the opportunity both to shape the future of our clustered organisations, and to be part of a radical transformation of care for the local people and communities across south London.

And while our two ICBs are different in some ways, improving lives for the people we serve is at the core of what we are both here to do.

Please note as you can only be employed by one ICB, this job description refers to 'the 'ICB', but your role may cover both ICB organisations, and / or geographical areas.

Equality and Diversity

The ICB is committed to providing services and employment to a community with an increasing variety of backgrounds. To do this effectively it is essential that we promote equality and embrace diversity and treat everyone with dignity and respect. This includes a focus on building a just culture

Details

Date posted

08 October 2026

Pay scheme

Agenda for change

Band

Band 8b

Salary

£72,719 to £83,505 a year per annum plus Outer HCAS

Contract

Permanent

Working pattern

Full-time

Reference number

491-SWLICB-S3-SLBI04-A

Job locations

120 The Broadway

120 The Broadway

Wimbledon

SW191RH

United Kingdom

Job description

Job responsibilities

Who are we looking for?

We are looking for an accomplished Data Scientist with substantial experience in advanced statistics, predictive modelling and Machine Learning, together with strong technical capability in Python and SQL.

You will understand how to translate complex problems into clearly defined analytical questions, determine whether Data Science is the appropriate solution, select the right methodology and ensure models are appropriately designed, tested, validated and evaluated.

You will combine technical depth with strategic and analytical judgement. You will be comfortable challenging assumptions and methodologies, working through ambiguity and explaining complex technical concepts, including uncertainty and limitations, to senior and non-technical audiences.

You will also be highly collaborative, working across Data Science, Data Engineering and Analytics, as well as with clinicians, commissioners, operational teams and other stakeholders, to develop solutions that address real-world healthcare challenges.

Above all, we are interested not simply in what you have built, but what became measurably better because of your work.

What makes the role different?

The defining feature of this role is the expectation that you willoperationalise Data Science.

Success will not be measured by the number or complexity of models developed. We are interested in whether Data Science solutions can move successfully through the full lifecycle:

Problem definition methodology data preparation modelling validation deployment monitoring evaluation measurable benefit

You will provide senior technical and methodological authority, challenging analytical approaches where necessary and ensuring that methods and models are appropriate for the problem being addressed.

You will work closely with Data Engineers to ensure that the data preparation, orchestration, transformation and pipelines underpinning Data Science products are robust, reproducible and scalable.

You will help embed Reproducible Analytical Pipelines (RAP), MLOps, automation, version control, testing and model monitoring, enabling successful models to become sustainable analytical products rather than remaining experimental prototypes.

You will also provide methodological assurance around model validity, uncertainty, assumptions, limitations, bias, fairness, explainability and model drift, helping ensure that Data Science and AI solutions are appropriately validated, monitored and understood. These responsibilities are explicitly reflected in the JD's requirements for model risk, validation, audit, bias, fairness, drift and explainability.

Ultimately, we are looking for someone who can connect technical and methodological excellence with measurable organisational and healthcare benefit.

Why join us?

You will work within an integrated Intelligence & Insights function supporting South East and South West London, alongside Data Scientists, Data Engineers, Population Health specialists and wider analytical teams working with rich and complex health and care data.

Your work will support Population Health Management, strategic commissioning, inequalities, planning and service improvement, providing the opportunity to apply advanced methods to questions with direct relevance to healthcare services and the populations they serve.

You will join an environment where Data Science, Data Engineering and Analytics work together, creating the opportunity to take successful ideas beyond experimentation and turn them into sustainable analytical capability that supports better evidence and decision-making.

If you are an accomplished Data Scientist who combines technical depth, methodological authority, strategic thinking and collaboration with a determination to turn Data Science into measurable real-world value, we would like to hear from you.

• Lead advanced Data Science, statistical modelling, Machine Learning and AI provide technical and methodological leadership in the design and development of predictive, inferential, causal, forecasting, optimisation, risk-stratification and population-segmentation solutions
• Translate strategic and operational problems into high-value Data Science solutions work with stakeholders to define problems, identify appropriate analytical approaches and prioritise use cases capable of delivering meaningful and measurable organisational or healthcare benefit.
• Ensure analytical and methodological rigour throughout model development set standards for model design, experimentation, testing, validation and evaluation, ensuring models are statistically robust, reproducible and appropriate for their intended purpose.
• Operationalise Data Science from development through to production work closely with Data Engineers and analysts to establish end-to-end processes covering data preparation, feature engineering, modelling, validation, deployment, monitoring and ongoing evaluation. The JD specifically expects the postholder to oversee the development of data-engineering pipelines and data preparation supporting models.
• Develop scalable Reproducible Analytical Pipelines (RAP) and drive automation move manual and difficult-to-reproduce analytical processes towards automated, transparent, auditable and reusable workflows, improving the efficiency and scalability of Data Science and the wider analytical function.
• Drive measurable improvements in analytical productivity and delivery use Data Science, AI and automation to reduce processing time and manual effort, increase reuse, improve analytical performance and release capacity for higher-value analytical work.
• Provide assurance and responsible governance of models and AI lead model validation and audit, ensure risks, assumptions and limitations are documented, and establish appropriate monitoring of bias, fairness, explainability and model drift.
• Work collaboratively across Data Science, Data Engineering and Analytics develop solutions jointly with Data Platform Engineers, analysts, clinicians and operational stakeholders, ensuring models are supported by robust data preparation and can operate effectively in real-world settings.
• Translate complex Data Science into actionable insight and decision support interpret model outputs, uncertainty and implications and communicate them clearly to senior, clinical, operational and non-technical audiences, enabling advanced analytics to support better decision-making.
• Develop Data Science capability across the wider analytical function mentor analysts and technical colleagues, provide expert guidance on appropriate analytical methods, coach colleagues in modelling and storytelling, develop a Data Science community of practice and evaluate emerging techniques and technologies.

We are looking for someone who can:identify the right problem select the appropriate methodology build a technically rigorous solution automate and productionise it demonstrate quantifiable benefit.

That is the clearest expression of what distinguishes the role: not simply the ability to undertake sophisticated Data Science, but the ability to turn it into a rigorous, operational and measurable capability.

Please see the attached job description and person specification for full details of the duties and responsibilities of the role.

Job description Job responsibilities Who are we looking for? We are looking for an accomplished Data Scientist with substantial experience in advanced statistics, predictive modelling and Machine Learning, together with strong technical capability in Python and SQL. You will understand how to translate complex problems into clearly defined analytical questions, determine whether Data Science is the appropriate solution, select the right methodology and ensure models are appropriately designed, tested, validated and evaluated. You will combine technical depth with strategic and analytical judgement. You will be comfortable challenging assumptions and methodologies, working through ambiguity and explaining complex technical concepts, including uncertainty and limitations, to senior and non-technical audiences. You will also be highly collaborative, working across Data Science, Data Engineering and Analytics, as well as with clinicians, commissioners, operational teams and other stakeholders, to develop solutions that address real-world healthcare challenges. Above all, we are interested not simply in what you have built, but what became measurably better because of your work. What makes the role different? The defining feature of this role is the expectation that you willoperationalise Data Science. Success will not be measured by the number or complexity of models developed. We are interested in whether Data Science solutions can move successfully through the full lifecycle: Problem definition methodology data preparation modelling validation deployment monitoring evaluation measurable benefit You will provide senior technical and methodological authority, challenging analytical approaches where necessary and ensuring that methods and models are appropriate for the problem being addressed. You will work closely with Data Engineers to ensure that the data preparation, orchestration, transformation and pipelines underpinning Data Science products are robust, reproducible and scalable. You will help embed Reproducible Analytical Pipelines (RAP), MLOps, automation, version control, testing and model monitoring, enabling successful models to become sustainable analytical products rather than remaining experimental prototypes. You will also provide methodological assurance around model validity, uncertainty, assumptions, limitations, bias, fairness, explainability and model drift, helping ensure that Data Science and AI solutions are appropriately validated, monitored and understood. These responsibilities are explicitly reflected in the JD's requirements for model risk, validation, audit, bias, fairness, drift and explainability. Ultimately, we are looking for someone who can connect technical and methodological excellence with measurable organisational and healthcare benefit. Why join us? You will work within an integrated Intelligence & Insights function supporting South East and South West London, alongside Data Scientists, Data Engineers, Population Health specialists and wider analytical teams working with rich and complex health and care data. Your work will support Population Health Management, strategic commissioning, inequalities, planning and service improvement, providing the opportunity to apply advanced methods to questions with direct relevance to healthcare services and the populations they serve. You will join an environment where Data Science, Data Engineering and Analytics work together, creating the opportunity to take successful ideas beyond experimentation and turn them into sustainable analytical capability that supports better evidence and decision-making. If you are an accomplished Data Scientist who combines technical depth, methodological authority, strategic thinking and collaboration with a determination to turn Data Science into measurable real-world value, we would like to hear from you. Lead advanced Data Science, statistical modelling, Machine Learning and AI provide technical and methodological leadership in the design and development of predictive, inferential, causal, forecasting, optimisation, risk-stratification and population-segmentation solutions Translate strategic and operational problems into high-value Data Science solutions work with stakeholders to define problems, identify appropriate analytical approaches and prioritise use cases capable of delivering meaningful and measurable organisational or healthcare benefit. Ensure analytical and methodological rigour throughout model development set standards for model design, experimentation, testing, validation and evaluation, ensuring models are statistically robust, reproducible and appropriate for their intended purpose. Operationalise Data Science from development through to production work closely with Data Engineers and analysts to establish end-to-end processes covering data preparation, feature engineering, modelling, validation, deployment, monitoring and ongoing evaluation. The JD specifically expects the postholder to oversee the development of data-engineering pipelines and data preparation supporting models. Develop scalable Reproducible Analytical Pipelines (RAP) and drive automation move manual and difficult-to-reproduce analytical processes towards automated, transparent, auditable and reusable workflows, improving the efficiency and scalability of Data Science and the wider analytical function. Drive measurable improvements in analytical productivity and delivery use Data Science, AI and automation to reduce processing time and manual effort, increase reuse, improve analytical performance and release capacity for higher-value analytical work. Provide assurance and responsible governance of models and AI lead model validation and audit, ensure risks, assumptions and limitations are documented, and establish appropriate monitoring of bias, fairness, explainability and model drift. Work collaboratively across Data Science, Data Engineering and Analytics develop solutions jointly with Data Platform Engineers, analysts, clinicians and operational stakeholders, ensuring models are supported by robust data preparation and can operate effectively in real-world settings. Translate complex Data Science into actionable insight and decision support interpret model outputs, uncertainty and implications and communicate them clearly to senior, clinical, operational and non-technical audiences, enabling advanced analytics to support better decision-making. Develop Data Science capability across the wider analytical function mentor analysts and technical colleagues, provide expert guidance on appropriate analytical methods, coach colleagues in modelling and storytelling, develop a Data Science community of practice and evaluate emerging techniques and technologies. We are looking for someone who can:identify the right problem select the appropriate methodology build a technically rigorous solution automate and productionise it demonstrate quantifiable benefit. That is the clearest expression of what distinguishes the role: not simply the ability to undertake sophisticated Data Science, but the ability to turn it into a rigorous, operational and measurable capability. Please see the attached job description and person specification for full details of the duties and responsibilities of the role.

Person Specification

Qualifications

Essential

• Educated to master's level or equivalent level of experience of working at a senior level in specialist area of data science.
• Evidence of continued professional development.

Desirable

• Relevant certifications in data science, statistics, or machine learning

Experience needed - general or specific

Essential

• Demonstrated experience of coordinating projects in complex and challenging environments.
• Significant experience & knowledge of probability and statistical inference, regression, time series modelling, experimental design & A/B testing, Bayesian methods, model validation
• Significant knowledge and experience of supervised & unsupervised machine learning, ensemble methods
• Knowledge of ETL/ELT processes
• Significant experience of successfully operating in a politically sensitive environment.
• Knowledge and experience of designing end to end pipelines
• Knowledge and experience of technical to business translation
• Significant experience of working with Data Engineers
• Knowledge and experience of agile and or hybrid solution delivery
• Knowledge and experience of storytelling to a very senior audience
• Experience of managing risks and reporting
• Experience of unit testing
• Experience of drafting briefing papers and correspondence for a senior audience.
• Experience of monitoring budgets and business planning processes.
• Demonstrated experience in a Healthcare environment.
• Experience of setting up and implementing internal processes and procedures.
• Experience in applying statistical, data science and machine learning techniques to real-world problems in a healthcare setting.
• Experience in managing, structuring and analysing NHS datasets (e.g. SUS, CSDS and MHSDS, primary care data, performance data).
• Experience in developing and maintaining reproducible analytical pipelines (RAP) and workflows.
• Experience working with large, complex, and sensitive datasets, ideally in a healthcare or public sector setting.
• Extensive knowledge and experience with data visualisation tools, e.g. PowerBI.
• Working knowledge of geospatial visualisation and analysis solutions, e.g. ArcGIS, QGIS, etc.
• Experience in developing dashboards and automated reporting solutions.
• Experience with using Snowflake to interrogate structured and unstructured data, write complex code, leverage Marketplace solutions, and develop ML models.
• Strong understanding of population health management and epidemiological principles, and experience in choosing and deploying the most effective analytical techniques for each scenario.

Skill and Ability

Essential

• Ability to analyse very complex issues where material is conflicting and drawn from multiple sources.
• Numerate and able to understand complex financial issues combined with deep analytical skills.
• Knowledge of Financial Systems e.g. monitoring budget management, processing
• Comprehensive knowledge of project principles, techniques and tools, such as Prince 2.
• Ability to prepare and produce concise communications for dissemination to a broad range of stakeholders as required.
• Ability to provide and receive complex, sensitive and contentious information and present complex and sensitive information to large groups and senior stakeholders.
• Demonstrated capability to plan over short, medium and long-term timeframes and adjust plans and resource requirements accordingly.
• High proficiency in Python and SQL.
• Understanding of Snowflake's machine learning capabilities and integration with tools like Python, Spark, or DataRobot.
• Strong understanding of data governance, privacy, and security principles including IG and GDPR.
• Familiarity with version control tools (e.g. GitHub or Azure DevOps) and collaborative coding practices.
• Proficiency in R

Desirable

• Understanding of data engineering principles and processes.

What our service users expect of this post holder

Essential

• Ability to work as part of a team and work flexibly to provide support to other departments and teams as and when necessary.
• Ability to work without supervision, but escalating when appropriate, providing specialist advice to the organisation, working to tight and often changing timescales.
• Tenacity: demonstrates high levels of self-belief, drive, enthusiasm and stamina to achieve goals and see things through.
• Ability to work effectively under pressure and to manage competing priorities.
• Self-confident and motivated.
• Ability to work effectively in multi-disciplinary teams, successfully engaging and communicating with technical and non technical clinical and operational senior stakeholders in a logic and compelling manner.
• Strong problem-solving and critical thinking skills.
• Willingness to learn and adapt to new tools, technologies, and methodologies.

Person Specification Qualifications Essential Educated to master's level or equivalent level of experience of working at a senior level in specialist area of data science. Evidence of continued professional development. Desirable Relevant certifications in data science, statistics, or machine learning Experience needed - general or specific Essential Demonstrated experience of coordinating projects in complex and challenging environments. Significant experience & knowledge of probability and statistical inference, regression, time series modelling, experimental design & A/B testing, Bayesian methods, model validation Significant knowledge and experience of supervised & unsupervised machine learning, ensemble methods Knowledge of ETL/ELT processes Significant experience of successfully operating in a politically sensitive environment. Knowledge and experience of designing end to end pipelines Knowledge and experience of technical to business translation Significant experience of working with Data Engineers Knowledge and experience of agile and or hybrid solution delivery Knowledge and experience of storytelling to a very senior audience Experience of managing risks and reporting Experience of unit testing Experience of drafting briefing papers and correspondence for a senior audience. Experience of monitoring budgets and business planning processes. Demonstrated experience in a Healthcare environment. Experience of setting up and implementing internal processes and procedures. Experience in applying statistical, data science and machine learning techniques to real-world problems in a healthcare setting. Experience in managing, structuring and analysing NHS datasets (e.g. SUS, CSDS and MHSDS, primary care data, performance data). Experience in developing and maintaining reproducible analytical pipelines (RAP) and workflows. Experience working with large, complex, and sensitive datasets, ideally in a healthcare or public sector setting. Extensive knowledge and experience with data visualisation tools, e.g. PowerBI. Working knowledge of geospatial visualisation and analysis solutions, e.g. ArcGIS, QGIS, etc. Experience in developing dashboards and automated reporting solutions. Experience with using Snowflake to interrogate structured and unstructured data, write complex code, leverage Marketplace solutions, and develop ML models. Strong understanding of population health management and epidemiological principles, and experience in choosing and deploying the most effective analytical techniques for each scenario. Skill and Ability Essential Ability to analyse very complex issues where material is conflicting and drawn from multiple sources. Numerate and able to understand complex financial issues combined with deep analytical skills. Knowledge of Financial Systems e.g. monitoring budget management, processing Comprehensive knowledge of project principles, techniques and tools, such as Prince 2. Ability to prepare and produce concise communications for dissemination to a broad range of stakeholders as required. Ability to provide and receive complex, sensitive and contentious information and present complex and sensitive information to large groups and senior stakeholders. Demonstrated capability to plan over short, medium and long-term timeframes and adjust plans and resource requirements accordingly. High proficiency in Python and SQL. Understanding of Snowflake's machine learning capabilities and integration with tools like Python, Spark, or DataRobot. Strong understanding of data governance, privacy, and security principles including IG and GDPR. Familiarity with version control tools (e.g. GitHub or Azure DevOps) and collaborative coding practices. Proficiency in R Desirable Understanding of data engineering principles and processes. What our service users expect of this post holder Essential Ability to work as part of a team and work flexibly to provide support to other departments and teams as and when necessary. Ability to work without supervision, but escalating when appropriate, providing specialist advice to the organisation, working to tight and often changing timescales. Tenacity: demonstrates high levels of self-belief, drive, enthusiasm and stamina to achieve goals and see things through. Ability to work effectively under pressure and to manage competing priorities. Self-confident and motivated. Ability to work effectively in multi-disciplinary teams, successfully engaging and communicating with technical and non technical clinical and operational senior stakeholders in a logic and compelling manner. Strong problem-solving and critical thinking skills. Willingness to learn and adapt to new tools, technologies, and methodologies.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

South West London Integrated Care Board

Address

120 The Broadway

120 The Broadway

Wimbledon

SW191RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Employer details

Employer name

South West London Integrated Care Board

Address

120 The Broadway

120 The Broadway

Wimbledon

SW191RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Job summary

Can you engineer data differently - and demonstrate the difference it makes?

We are looking for an exceptional Senior Data Platform Engineer to help shape, engineer and mature the data platforms and engineering capability supporting analytics across South East and South West London.This is a senior technical practitioner and engineering leadership role for someone who combines deep Data Engineering expertise with strategic and analytical thinking. We are looking for someone who can design and build, provide technical challenge and assurance, raise engineering standards and demonstrate how better engineering translates into better analytical delivery.

You will move comfortably between architecture and implementation--understanding complex analytical requirements, determining appropriate engineering solutions and working collaboratively with Data Engineers, analysts, Data Scientists and other technical specialists to turn those solutions into reliable production services.

Main duties of the job

The Opportunity

You will have the opportunity to help shape and mature the Data Engineering capability supporting analytics across South East and South West London, working across Microsoft Fabric, Snowflake and Azure in a complex health and care data environment.

This is an opportunity to influence not only what we build, but how we engineer--establishing better approaches to architecture, ingestion, orchestration, transformation, data modelling, testing, deployment, monitoring, automation and reuse.Working closely with Data Engineers, Data Scientists and analysts, you will see how engineering decisions affect analytical delivery and be able to target technical improvements where they can make the greatest difference.You will combine hands-on engineering with technical leadership and assurance, helping us develop scalable, resilient and production-quality data products while demonstrably improving the speed, quality, reliability and efficiency of analytical delivery.

About us

In 2025, the boards of NHS South East London ICB and NHS South West London ICB entered into a clustering arrangement, meaning that we share a chair, chief executive officer and an executive team, but we remain as separate, statutory organisations.

This also means that the ICBs will share some teams, who will be working across both organisations. Some teams will also be working across both geographical areas and integrated care systems.

ICBs are also changing, with a clear focus on strategic commissioning and delivering neighbourhood working.

This is an exciting time to work within our ICBs. We currently have the opportunity both to shape the future of our clustered organisations, and to be part of a radical transformation of care for the local people and communities across south London.

And while our two ICBs are different in some ways, improving lives for the people we serve is at the core of what we are both here to do.

Please note as you can only be employed by one ICB, this job description refers to 'the 'ICB', but your role may cover both ICB organisations, and / or geographical areas.

Equality and Diversity

The ICB is committed to providing services and employment to a community with an increasing variety of backgrounds. To do this effectively it is essential that we promote equality and embrace diversity and treat everyone with dignity and respect. This includes a focus on building a just culture

Details

Date posted

08 October 2026

Pay scheme

Agenda for change

Band

Band 8b

Salary

£72,719 to £83,505 a year per annum plus Inner or Outer HCAS depending on Office Base.

Contract

Permanent

Working pattern

Full-time

Reference number

491-SWLICB-S3-SLBI05-A

Job locations

120 The Broadway

Wimbledon

SW19 1RH

United Kingdom

Job description

Job responsibilities

Who are we looking for?

We are looking for an accomplished Data Platform Engineer with substantial technical depth and experience designing, building and operating complex data platforms, pipelines and analytical data models at scale.You will understand the complete data lifecyclefrom ingestion and orchestration through transformation, modelling, validation, deployment, monitoring and optimisationand be able to determine the appropriate engineering approach for complex analytical requirements.

You will combine engineering expertise with strategic and analytical judgement. You will be comfortable interrogating architecture and code, challenging technical approaches, identifying technical debt and establishing engineering standards that improve reliability, maintainability, scalability and reuse.Your experience is likely to include several of the following:

Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will also be pragmatic and highly collaborative. You will understand the problem before designing the solution, communicate complex engineering concepts clearly and take ownership of difficult technical problems from initial design through to stable production operation.Above all, we are interested not simply in what you have built, but what became measurably better because you built it.

What makes the role different?

For us, successful Data Engineering is not simply about moving data from one place to another. The defining proposition of this role is toengineer for analytical value.We want to move away from unnecessary manual processing and isolated technical solutions towards automated, reusable, governed, integrated and production-quality data products.You will work directly with the analysts and Data Scientists who consume the data, enabling you to understand how engineering decisions affect analytical delivery and target technical effort where it can make the greatest difference.

You will have the authority and technical credibility to challenge existing approaches, improve patterns for ingestion, orchestration, transformation and modelling, and ensure engineering solutions are appropriately designed, tested, monitored and optimised.

Success will therefore be visible and measurable. It could mean reducing a data preparation process from hours to minutes; eliminating repetitive analyst intervention; improving data quality or pipeline reliability; increasing reuse of curated datasets and common transformation logic; reducing compute consumption; shortening the time required to develop analytical products; or releasing analytical capacity for higher-value work.

Ultimately, we want someone who can connect engineering excellence with measurable improvements in analytical delivery.

What will you do?

• Lead the design, build and optimisation of scalable data pipelines and architecture create resilient, secure and high-performing data flows from source systems through ingestion and transformation to curated analytical data products.
• Provide technical leadership and engineering assurance for data orchestration and transformation set and challenge engineering standards and ensure ETL/ELT solutions are automated, maintainable, observable, appropriately tested and engineered for performance, resilience and reuse.
• Lead and technically assure analytical data modelling work directly with analysts and Data Scientists to translate complex analytical requirements into robust, reusable data structures and semantic models, constructively challenging modelling approaches where better solutions are available.
• Drive automation across Data Engineering and the wider analytical function identify repetitive, manual and inefficient processes and develop engineering solutions that release capacity, increase reuse and improve analytical productivity.
• Establish strong software and Data Engineering disciplines embed automated testing, Git-based version control, CI/CD, deployment pipelines, monitoring, documentation, change control and Infrastructure as Code.
• Engineer for reliability, resilience and data quality establish validation, reconciliation, exception handling, recovery, backfill, monitoring and audit processes so analytical teams can confidently rely on the data they receive.
• Optimise Microsoft Fabric, Snowflake and Azure workloads apply strong technical judgement to performance, scalability, resilience, capacity consumption and cloud cost optimisation.
• Enable advanced Analytics, Data Science and AI create the pipelines, feature engineering, data structures and MLOps capabilities required to move analytical and Machine Learning solutions reliably into production.

These responsibilities retain the central requirements of the Band 8B JD: senior responsibility for pipelines and infrastructure, technical architecture, transformation, analytical modelling, testing, automation, optimisation, Data Science enablement and collaboration with analytical teams.

Why join us?

You will work within an integrated Intelligence & Insights function supporting South East and South West London, alongside Data Engineers, Data Scientists, Population Health specialists and wider analytical teams working with complex health and care data.Your engineering will directly support Population Health Management, strategic commissioning, planning, performance and wider analytical delivery, providing the opportunity to see how technical decisions translate into practical analytical capability.You will be joining at an important point in the development of our data environment, with the opportunity to work across Microsoft Fabric, Snowflake and Azure while helping establish the technical foundations for faster, more reliable and scalable analytical delivery.If you are a technically accomplished Data Platform Engineer who combines engineering depth, strategic thinking, analytical curiosity and collaboration with a determination to turn engineering excellence into measurable analytical value, we would like to hear from you.

• Lead the design, build and optimisation of scalable data pipelines and data architecture ensuring reliable, secure and efficient data flows from source systems through ingestion and transformation to analytical data products.
• Lead data orchestration, transformation and integration develop robust, automated ETL/ELT processes covering ingestion, cleansing, transformation, scheduling, dependency management, exception handling and delivery.
• Design and assure robust analytical data models translate complex analytical and business requirements into well-engineered, reusable dimensional, Lakehouse, Data Vault and semantic models that improve analytical consistency and performance.
• Drive automation and analytical productivity identify manual, repetitive and inefficient processes within Data Engineering, Analytics and the wider department and develop automated solutions that demonstrably release capacity and accelerate analytical delivery.
• Provide senior technical leadership and engineering assurance set and champion standards for architecture, code, pipelines, data models, testing, documentation and engineering practices, constructively challenging solutions where greater rigour or efficiency is required.
• Establish modern engineering and deployment practices embed Git, CI/CD, automated testing, monitoring, Infrastructure as Code, deployment pipelines and effective change control to create reliable and maintainable production services. The person specification specifically requires significant DevOps, Git and automated deployment experience.
• Demonstrate measurable benefit from Data Engineering establish and evidence improvements such as reduced data-processing time, fewer manual interventions, improved pipeline reliability, greater reuse of data assets and transformation logic, faster analytical turnaround and increased analytical capacity.
• Engineer data quality, reliability and resilience into the platform implement validation, reconciliation, monitoring, audit, recovery, backfill and exception-management processes so analytical teams can confidently rely on the data they receive.
• Optimise Microsoft Fabric, Snowflake and Azure environments improve performance, scalability, resilience and resource utilisation across OneLake, Lakehouse, Data Factory, Spark/Notebooks, Snowflake and associated cloud services.

Job description Job responsibilities Who are we looking for? We are looking for an accomplished Data Platform Engineer with substantial technical depth and experience designing, building and operating complex data platforms, pipelines and analytical data models at scale.You will understand the complete data lifecyclefrom ingestion and orchestration through transformation, modelling, validation, deployment, monitoring and optimisationand be able to determine the appropriate engineering approach for complex analytical requirements. You will combine engineering expertise with strategic and analytical judgement. You will be comfortable interrogating architecture and code, challenging technical approaches, identifying technical debt and establishing engineering standards that improve reliability, maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will also be pragmatic and highly collaborative. You will understand the problem before designing the solution, communicate complex engineering concepts clearly and take ownership of difficult technical problems from initial design through to stable production operation.Above all, we are interested not simply in what you have built, but what became measurably better because you built it. What makes the role different? For us, successful Data Engineering is not simply about moving data from one place to another. The defining proposition of this role is toengineer for analytical value.We want to move away from unnecessary manual processing and isolated technical solutions towards automated, reusable, governed, integrated and production-quality data products.You will work directly with the analysts and Data Scientists who consume the data, enabling you to understand how engineering decisions affect analytical delivery and target technical effort where it can make the greatest difference. You will have the authority and technical credibility to challenge existing approaches, improve patterns for ingestion, orchestration, transformation and modelling, and ensure engineering solutions are appropriately designed, tested, monitored and optimised. Success will therefore be visible and measurable. It could mean reducing a data preparation process from hours to minutes; eliminating repetitive analyst intervention; improving data quality or pipeline reliability; increasing reuse of curated datasets and common transformation logic; reducing compute consumption; shortening the time required to develop analytical products; or releasing analytical capacity for higher-value work. Ultimately, we want someone who can connect engineering excellence with measurable improvements in analytical delivery. What will you do? Lead the design, build and optimisation of scalable data pipelines and architecture create resilient, secure and high-performing data flows from source systems through ingestion and transformation to curated analytical data products. Provide technical leadership and engineering assurance for data orchestration and transformation set and challenge engineering standards and ensure ETL/ELT solutions are automated, maintainable, observable, appropriately tested and engineered for performance, resilience and reuse. Lead and technically assure analytical data modelling work directly with analysts and Data Scientists to translate complex analytical requirements into robust, reusable data structures and semantic models, constructively challenging modelling approaches where better solutions are available. Drive automation across Data Engineering and the wider analytical function identify repetitive, manual and inefficient processes and develop engineering solutions that release capacity, increase reuse and improve analytical productivity. Establish strong software and Data Engineering disciplines embed automated testing, Git-based version control, CI/CD, deployment pipelines, monitoring, documentation, change control and Infrastructure as Code. Engineer for reliability, resilience and data quality establish validation, reconciliation, exception handling, recovery, backfill, monitoring and audit processes so analytical teams can confidently rely on the data they receive. Optimise Microsoft Fabric, Snowflake and Azure workloads apply strong technical judgement to performance, scalability, resilience, capacity consumption and cloud cost optimisation. Enable advanced Analytics, Data Science and AI create the pipelines, feature engineering, data structures and MLOps capabilities required to move analytical and Machine Learning solutions reliably into production. These responsibilities retain the central requirements of the Band 8B JD: senior responsibility for pipelines and infrastructure, technical architecture, transformation, analytical modelling, testing, automation, optimisation, Data Science enablement and collaboration with analytical teams. Why join us? You will work within an integrated Intelligence & Insights function supporting South East and South West London, alongside Data Engineers, Data Scientists, Population Health specialists and wider analytical teams working with complex health and care data.Your engineering will directly support Population Health Management, strategic commissioning, planning, performance and wider analytical delivery, providing the opportunity to see how technical decisions translate into practical analytical capability.You will be joining at an important point in the development of our data environment, with the opportunity to work across Microsoft Fabric, Snowflake and Azure while helping establish the technical foundations for faster, more reliable and scalable analytical delivery.If you are a technically accomplished Data Platform Engineer who combines engineering depth, strategic thinking, analytical curiosity and collaboration with a determination to turn engineering excellence into measurable analytical value, we would like to hear from you. Lead the design, build and optimisation of scalable data pipelines and data architecture ensuring reliable, secure and efficient data flows from source systems through ingestion and transformation to analytical data products. Lead data orchestration, transformation and integration develop robust, automated ETL/ELT processes covering ingestion, cleansing, transformation, scheduling, dependency management, exception handling and delivery. Design and assure robust analytical data models translate complex analytical and business requirements into well-engineered, reusable dimensional, Lakehouse, Data Vault and semantic models that improve analytical consistency and performance. Drive automation and analytical productivity identify manual, repetitive and inefficient processes within Data Engineering, Analytics and the wider department and develop automated solutions that demonstrably release capacity and accelerate analytical delivery. Provide senior technical leadership and engineering assurance set and champion standards for architecture, code, pipelines, data models, testing, documentation and engineering practices, constructively challenging solutions where greater rigour or efficiency is required. Establish modern engineering and deployment practices embed Git, CI/CD, automated testing, monitoring, Infrastructure as Code, deployment pipelines and effective change control to create reliable and maintainable production services. The person specification specifically requires significant DevOps, Git and automated deployment experience. Demonstrate measurable benefit from Data Engineering establish and evidence improvements such as reduced data-processing time, fewer manual interventions, improved pipeline reliability, greater reuse of data assets and transformation logic, faster analytical turnaround and increased analytical capacity. Engineer data quality, reliability and resilience into the platform implement validation, reconciliation, monitoring, audit, recovery, backfill and exception-management processes so analytical teams can confidently rely on the data they receive. Optimise Microsoft Fabric, Snowflake and Azure environments improve performance, scalability, resilience and resource utilisation across OneLake, Lakehouse, Data Factory, Spark/Notebooks, Snowflake and associated cloud services.

Person Specification

Qualifications

Essential

• Educated to master's level or equivalent level of experience working at a senior level in a specialist area, with additional in-depth professional knowledge and continuous professional development in own discipline
• Evidence of continued professional development

Desirable

• Relevant certifications in Cloud & Platform systems, data architecture and design and related subjects

Experience needed - general or specific

Essential

• Extensive experience in Azure infrastructure design, deployment and management, ideally in an NHS setting
• Extensive experience designing, building and maintaining complex ETL/ELT pipelines at scale, including automated scheduling and or-chestration
• Significant knowledge and experience of lead-ing the integration of dozens of source sys-tems
• Significant knowledge and experience for re-covery and backfill processes
• Demonstrable experience deploying, configuring and managing MS Fabric environments, including Lakehouse, Data Factory, Spark/Notebooks and Power BI integration
• Significant knowledge and experience of performance optimisation
• Significant experience in dimensional model-ling, data vault and lakehouse patterns, in-cluding slowly changing dimensions and event-driven pipelines
• Proven experience leading data quality frame-works including validation, reconciliation, monitoring and incident management
• Knowledge and experience of GDPR, encryption
• Experience implementing Identity & Access Management, Role-based Access Controls, data masking, row-level security and audit loggingKnowledge and experience of Masking and Tokenisation
• Significant experience in infrastructure as code, DevOps practices, Git integration, branching strategies and automated deploy-ment pipelines
• Knowledge and experience on developing machine learning pipelines
• Knowledge and experience of Machine learn-ing Ops
• Demonstrable experience in maintaining an enterprise level Snowflake environment, in-cluding credit management, RBAC, and secu-rity governance, ideally in an NHS setting

Desirable

• Knowledge and experience of agile product operating models of delivery
• Knowledge and experience of Machine learning Ops

SNOWFLAKE

Essential

• Significant knowledge and experience of the three-layer architecture
• Significant knowledge and experience of Vir-tual warehouses, including multi-cluster ware-houses, workload isolation
• Significant knowledge and experience of data ingestion and integration: bulk loading, contin-uous ingestion, connectors
• Significant knowledge and experience in data transformation & modelling: ELT patterns, dbt + Snowflake integration, stored procedures, star schema, building curate layer, incremen-tal models, slowly changing dimensions
• Significant experience and knowledge of per-formance & cost optimization: clustering, mi-cro-partitions, credit consumption, resource monitoring, warehouse sizing, query profile, account usage views, schema information
• Significant knowledge and experience of se-curity, governance & compliance: access con-trols, data protection, compliance
• Significant knowledge and experience of ad-vance enterprise capabilities: data sharing, Snowpark, native apps, unistore and iceberg tables
• Significant experience of automated deploy-ments, zero-downtime change, disaster re-covery

What the service users expect of this post holder

Essential

• Understanding performance and change management, business planning, budget setting and monitoring, and contracting processes, in a health setting.
• Demonstrable understanding of managing the delivery and improvement of services within a complex and diverse organisation.
• Demonstrable understanding of leading teams, setting strategic and operational objectives, designing personal development plans, and resolving conflict situations
• Demonstrable knowledge of development of strategies to meet changing organisa-tional needs and acting as the technical subject matter expert across an entire di-rectorate or Organisation.
• Demonstrable understanding of designing, implementing and managing complex modern information and analytics sys-tems, including Cloud-based data ware-houses
• Demonstrable understanding of deploying, configuring, fine tuning, and managing MS Fabric environments and components
• Demonstrable understanding of liaising with ICT, IG, cyber security and other re-lated disciplines and internal and external teams to ensure their timely cooperation on projects that require their input or sign off
• Demonstrable understanding of reviewing and amending large volumes of complex code and identifying performance issues and/or bugs checking for adherence to coding best practice and local standards,
• Demonstrable understanding of working under pressure and in uncertain and highly politically sensitive environments
• Strong leadership influencing, negotiating and interpersonal skills
• A collaborative management style, which rec-ognizes and values personal contributions and agenda and encourages team working
• Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their im-plications for South London
• Robust knowledge of NHS IG principles and practical understanding of how to achieve compliance with legal requirements, particularly in relation to the processing of sensitive information

Desirable

• Demonstrable understanding of inter-agency working and the development of joint projects, working with stakeholders to define success criteria, improving performance, and maximize efficiencies
• Demonstrable understanding of leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems
• Demonstrable understanding of leading the planning of complex technical projects, such as the adoption of innovative solu-tions and the migration across different analytics systems
• Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their im-plications for South London

Skill and Ability

Essential

• The ability to perform system & architectural thinking as it relates to platform architecture, data storage, workload separation, stability design and resilience.
• The ability to undertake query tuning, warehousing sizing, resource monitoring and capacity planning
• The ability to identify, define, promote, com-municate and achieve clear organisational val-ues and goals, effective management pro-cesses, and rational and timely decision taking
• The ability to work in partnership with lead commissioners, clinicians and health care professionals within and outside the ICB and a partnership approach to working across organisations.
• The ability to analyse complex issues, to think and plan to achieve both tactical and strategic objectives, and to exercise sound judgement in the face of conflicting pres-sures.
• The skills to evaluate and learn from out-comes, with a clear commitment to innovation, learning and improvement.
• Effectiveness in conflict resolution and man-agement.
• Ability to provide and receive highly complex, sensitive, confidential, or contentious infor-mation to a range of technical and non-tech-nical stakeholders, including senior manage-ment, negotiating and influencing them on diffi-cult subjects.
• Problem solving skills and ability to prioritise and respond effectively to unplanned and con-flicting demands.
• Autonomous strategic thinking abilities, to an-ticipate and mitigate against problems, formu-lating and adjusting plans as required, and briefing senior management whenever appro-priate.

Desirable

• The ability to enable analytics and AI through the following: feature engineering pipelines, machine learning prep, MLOps, real-time data design

MS Fabric

Essential

• Significant knowledge and experience of OneLake, Fabric workspaces and capacities
• Significant knowledge and experience of data factory: complex orchestration, parameterization, event-based triggers, retry and failure handling, meta-driven ingestion
• Significant knowledge and experience of Lakehouse: delta lake, table optimisation, travel time, schema evolution
• Significant knowledge and experience of Spark/Notebooks and warehousing
• Significant knowledge and experience on how Fabric integrates with power BI semantic models, Directlake mode, DirectQuery
• Significant knowledge and experience of Identity & Access, data security, compliance
• Significant knowledge and experience of performance and cost engineering: query optimisation, file sizing, delta compaction, caching, capacity load patterns, capacity pooling.
• Significant knowledge and experience of Kimball vs data Vault vs Lakehouse, dimensional modelling, slowly changing dimensions and event-driven pipelines

Desirable

• Significant knowledge and experience DevOps: Fabric and Git integration, AzureDevOps/GitHub, branching strategy deployment pipelines and infrastructure as code
• Knowledge experience in administration and configuration of GitHub and Azure DevOps code repositories for multi team use

Person Specification Qualifications Essential Educated to master's level or equivalent level of experience working at a senior level in a specialist area, with additional in-depth professional knowledge and continuous professional development in own discipline Evidence of continued professional development Desirable Relevant certifications in Cloud & Platform systems, data architecture and design and related subjects Experience needed - general or specific Essential Extensive experience in Azure infrastructure design, deployment and management, ideally in an NHS setting Extensive experience designing, building and maintaining complex ETL/ELT pipelines at scale, including automated scheduling and or-chestration Significant knowledge and experience of lead-ing the integration of dozens of source sys-tems Significant knowledge and experience for re-covery and backfill processes Demonstrable experience deploying, configuring and managing MS Fabric environments, including Lakehouse, Data Factory, Spark/Notebooks and Power BI integration Significant knowledge and experience of performance optimisation Significant experience in dimensional model-ling, data vault and lakehouse patterns, in-cluding slowly changing dimensions and event-driven pipelines Proven experience leading data quality frame-works including validation, reconciliation, monitoring and incident management Knowledge and experience of GDPR, encryption Experience implementing Identity & Access Management, Role-based Access Controls, data masking, row-level security and audit loggingKnowledge and experience of Masking and Tokenisation Significant experience in infrastructure as code, DevOps practices, Git integration, branching strategies and automated deploy-ment pipelines Knowledge and experience on developing machine learning pipelines Knowledge and experience of Machine learn-ing Ops Demonstrable experience in maintaining an enterprise level Snowflake environment, in-cluding credit management, RBAC, and secu-rity governance, ideally in an NHS setting Desirable Knowledge and experience of agile product operating models of delivery Knowledge and experience of Machine learning Ops SNOWFLAKE Essential Significant knowledge and experience of the three-layer architecture Significant knowledge and experience of Vir-tual warehouses, including multi-cluster ware-houses, workload isolation Significant knowledge and experience of data ingestion and integration: bulk loading, contin-uous ingestion, connectors Significant knowledge and experience in data transformation & modelling: ELT patterns, dbt + Snowflake integration, stored procedures, star schema, building curate layer, incremen-tal models, slowly changing dimensions Significant experience and knowledge of per-formance & cost optimization: clustering, mi-cro-partitions, credit consumption, resource monitoring, warehouse sizing, query profile, account usage views, schema information Significant knowledge and experience of se-curity, governance & compliance: access con-trols, data protection, compliance Significant knowledge and experience of ad-vance enterprise capabilities: data sharing, Snowpark, native apps, unistore and iceberg tables Significant experience of automated deploy-ments, zero-downtime change, disaster re-covery What the service users expect of this post holder Essential Understanding performance and change management, business planning, budget setting and monitoring, and contracting processes, in a health setting. Demonstrable understanding of managing the delivery and improvement of services within a complex and diverse organisation. Demonstrable understanding of leading teams, setting strategic and operational objectives, designing personal development plans, and resolving conflict situations Demonstrable knowledge of development of strategies to meet changing organisa-tional needs and acting as the technical subject matter expert across an entire di-rectorate or Organisation. Demonstrable understanding of designing, implementing and managing complex modern information and analytics sys-tems, including Cloud-based data ware-houses Demonstrable understanding of deploying, configuring, fine tuning, and managing MS Fabric environments and components Demonstrable understanding of liaising with ICT, IG, cyber security and other re-lated disciplines and internal and external teams to ensure their timely cooperation on projects that require their input or sign off Demonstrable understanding of reviewing and amending large volumes of complex code and identifying performance issues and/or bugs checking for adherence to coding best practice and local standards, Demonstrable understanding of working under pressure and in uncertain and highly politically sensitive environments Strong leadership influencing, negotiating and interpersonal skills A collaborative management style, which rec-ognizes and values personal contributions and agenda and encourages team working Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their im-plications for South London Robust knowledge of NHS IG principles and practical understanding of how to achieve compliance with legal requirements, particularly in relation to the processing of sensitive information Desirable Demonstrable understanding of inter-agency working and the development of joint projects, working with stakeholders to define success criteria, improving performance, and maximize efficiencies Demonstrable understanding of leading the planning of complex technical projects, such as the adoption of innovative solutions and the migration across different analytics systems Demonstrable understanding of leading the planning of complex technical projects, such as the adoption of innovative solu-tions and the migration across different analytics systems Knowledge of current and evolving healthcare policies and digital strategies in London and nationally, and good understanding of their im-plications for South London Skill and Ability Essential The ability to perform system & architectural thinking as it relates to platform architecture, data storage, workload separation, stability design and resilience. The ability to undertake query tuning, warehousing sizing, resource monitoring and capacity planning The ability to identify, define, promote, com-municate and achieve clear organisational val-ues and goals, effective management pro-cesses, and rational and timely decision taking The ability to work in partnership with lead commissioners, clinicians and health care professionals within and outside the ICB and a partnership approach to working across organisations. The ability to analyse complex issues, to think and plan to achieve both tactical and strategic objectives, and to exercise sound judgement in the face of conflicting pres-sures. The skills to evaluate and learn from out-comes, with a clear commitment to innovation, learning and improvement. Effectiveness in conflict resolution and man-agement. Ability to provide and receive highly complex, sensitive, confidential, or contentious infor-mation to a range of technical and non-tech-nical stakeholders, including senior manage-ment, negotiating and influencing them on diffi-cult subjects. Problem solving skills and ability to prioritise and respond effectively to unplanned and con-flicting demands. Autonomous strategic thinking abilities, to an-ticipate and mitigate against problems, formu-lating and adjusting plans as required, and briefing senior management whenever appro-priate. Desirable The ability to enable analytics and AI through the following: feature engineering pipelines, machine learning prep, MLOps, real-time data design MS Fabric Essential Significant knowledge and experience of OneLake, Fabric workspaces and capacities Significant knowledge and experience of data factory: complex orchestration, parameterization, event-based triggers, retry and failure handling, meta-driven ingestion Significant knowledge and experience of Lakehouse: delta lake, table optimisation, travel time, schema evolution Significant knowledge and experience of Spark/Notebooks and warehousing Significant knowledge and experience on how Fabric integrates with power BI semantic models, Directlake mode, DirectQuery Significant knowledge and experience of Identity & Access, data security, compliance Significant knowledge and experience of performance and cost engineering: query optimisation, file sizing, delta compaction, caching, capacity load patterns, capacity pooling. Significant knowledge and experience of Kimball vs data Vault vs Lakehouse, dimensional modelling, slowly changing dimensions and event-driven pipelines Desirable Significant knowledge and experience DevOps: Fabric and Git integration, AzureDevOps/GitHub, branching strategy deployment pipelines and infrastructure as code Knowledge experience in administration and configuration of GitHub and Azure DevOps code repositories for multi team use

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

South West London Integrated Care Board

Address

120 The Broadway

Wimbledon

SW19 1RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Employer details

Employer name

South West London Integrated Care Board

Address

120 The Broadway

Wimbledon

SW19 1RH

United Kingdom

Employer's website

https://www.southwestlondon.icb.nhs.uk (Opens in a new tab)

Job summary

The Chair will provide strategic leadership to the Board of South West London Training Hub CIC, ensuring that the organisation is well governed, financially sustainable and focused on delivering its community interest objectives.

The Chair will create the conditions for effective Board leadership, constructive challenge and robust decision-making while maintaining productive relationships with the Operational Lead, Directors and system partners.

The role requires an individual who can balance strategic oversight with a sound understanding of operational delivery and workforce development within primary care. The Chair will support the organisation through a period of leadership transition, workforce transformation and increasing expectations around organisational resilience and financial sustainability.

Main duties of the job

• Lead the Board in setting and overseeing the strategic direction of South West London Training Hub CIC
• Ensure the Board operates effectively and in accordance with the Company's Articles of Association, statutory requirements and governance framework
• Ensure the Board focuses on strategy, governance, assurance, scrutiny and organisational sustainability, while enabling the operational leadership team to focus on implementation, management and delivery of the Training Hub's offer
• Support the organisation with next years re-procurement of Training Hubs by Heath Education England/NHS England
• Promote the highest standards of integrity, accountability, transparency and ethical conduct
• Foster an inclusive and effective Board culture that encourages constructive challenge, respectful debate and collective decision-making
• Ensure Directors understand and fulfil their statutory and fiduciary responsibilities
• Ensure actual, potential and perceived conflicts of interest are appropriately identified, declared and managed
• Lead regular reviews of Board effectiveness and governance arrangements
• Support the recruitment, induction, appraisal and development of Board members

• Work with the Operational Lead and Directors to shape, develop and oversee delivery of the organisation's strategic objectives

About us

South West London Training Hub CIC is the strategic workforce development organisation serving the six boroughs of Croydon, Kingston, Merton, Richmond, Sutton and Wandsworth. The organisation works across a complex health and care system, bringing together Primary Care Networks (PCNs), GP practices, locality Training Hubs, NHS England, SWL Integrated Care Board, higher education institutions and wider health and care partners to support the development of a sustainable primary and community care workforce

The Training Hub plays a pivotal role in supporting workforce transformation across primary care, including education and training, workforce planning, recruitment and retention initiatives, leadership development, multidisciplinary team development and the introduction of new workforce models. Through collaboration with locality Training Hubs, the organisation provides strategic coordination, system leadership and support to ensure workforce development activity is aligned across SWL.

As a (CIC), SWL Training Hub CIC operates within a rapidly changing NHS environment characterised by evolving workforce priorities, financial pressures and changing commissioning arrangements. To remain effective and sustainable, the organisation must continue to strengthen its governance arrangements, diversify income streams, demonstrate impact and maintain strong partnership relationships across the health and care system.