At a Glance
- Tasks: Lead data transformation in healthcare, shaping insights for better patient care.
- Company: Join University Hospitals of Northamptonshire, a pioneering NHS group.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Inclusive workplace committed to diversity and community service.
- Why this job: Be at the forefront of healthcare innovation, using data to drive real change.
- Qualifications: Masters level education and extensive experience in analytics leadership required.
The predicted salary is between 112782 - 129783 £ per year.
Help us build one of the most data-led hospital groups in the NHS. UHN is appointing its first Chief Data and Analytics Officer to shape what data can do for two hospitals, 11,500 colleagues and 900,000 people across Northamptonshire.
We want every decision at UHN to be driven by insight, with teams able to see how their services are performing in real time, spot problems before they reach patients, and know whether their changes are working. As a national Federated Data Platform incubator site, your work will also show the rest of the NHS what is possible.
You will set a bold vision for data at UHN and build the team, platforms and culture to deliver it, using AI and predictive modelling to anticipate demand and improve flow. You will bring our analytics, reporting, coding and data quality teams together into one Health Intelligence function that colleagues trust and use.
Main duties of the job:
- Oversee the quality, security, and lifecycle management of data across all Trust systems.
- Define the roadmap and oversee the implementation of organisational level data platforms, tools, capabilities and functions to ensure UHN is a leader in the uses of high quality 'real world data'.
- Ensure the timely submission of all statutory, regulatory data returns to the required data quality.
- Provide interpretation and initiate discussions with operational colleagues to ensure relevant new data requirements are met and that policies and procedures are updated accordingly.
- Support research, innovation, and academic partnerships by ensuring access to high-quality, well-curated data.
- Lead the development of advanced analytics capabilities, including AI and predictive modelling, to support population health and personalised care.
- Champion data literacy and foster a culture of data-driven decision-making across the Trust.
- Ensure effective coding services that enable accurate quality and income reporting.
- Drive innovation through leading our Federated Data Platform 'incubator' work.
- Leadership and line management, creating the environment for happy, motivated and highly-performing teams.
- Collaborate with partners to enable secure and ethical data sharing across organisational boundaries for the benefit of our patients.
About us:
University Hospitals of Northamptonshire (UHN) brings together Kettering General Hospital NHS Foundation Trust and Northampton General Hospital NHS Trust. As a group, we are committed to improving services for our communities through collaboration, modernising care delivery and striving for excellence. Working together enables us to share expertise, strengthen services and create greater opportunities, and there may be a requirement to work across sites depending on service needs.
Our Excellence Values are Compassion, Accountability, Respect, Integrity and Courage. UHN welcomes applications from all backgrounds and is committed to an inclusive working environment.
Details:
- Date posted: 02 November 2026
- Pay scheme: Agenda for change
- Band: Band 9
- Salary: £112,782 to £129,783 a year per annum / pro rata (Subject to banding)
- Contract: Permanent
- Working pattern: Full-time, Part-time, Flexible working
- Reference number: 264-8397281-COR
- Job locations: University Hospitals of Northamptonshire, Northamptonshire, Kettering, NN16 8UZ, United Kingdom
Person Specification:
Qualifications:
- Essential: Educated to Masters level education or equivalent level or equivalent experience of working at a senior level in leading business intelligence and analytical functions in a complex environment. Member of a relevant professional body.
- Desirable: Agile delivery qualification e.g. ScrumMaster, AgilePM. Experience of project and programme management techniques and tools such as Prince 2 or Managing Successful Projects. Post-graduate qualification in statistics, economics, operational research or other related area.
Experience:
- Essential: Extensive experience of leadership and achievement in analytics in a large, complex environment. Evidence of continuing professional development. Advanced experience of managing cloud-based analytics development (e.g., Azure DB). Advanced experience developing with Microsoft BI stack - including SSAS & Power BI (both cloud and an on-premises deployment). Experience of organisation-wide policy development, interpreting complex legislative and other requirements. Experience of successfully operating and delivering priorities in a partnership environment. Extensive experience delivering business intelligence and analytical functions in a large and complex NHS environment. Significant experience of leading major complex change programmes with entrepreneurialism in a challenging organisational environment, demonstrated by quantifiable metrics. Experience working with multiple organisational units with sometimes opposing objectives to gain consensus. Experience in the delivery of complex work, incorporating multiple inputs and stakeholders, management of fluctuating workflow and associated resource and budget management. Significant experience of managing and prioritising a large budget with solid knowledge of financial process requirements. Experience building, leading, motivating, managing and developing high-performing teams. Experience of strategic thinking at a senior level.
- Desirable: Experience of working in health organisations and awareness of NHS funding models, performance metrics and regulatory and reporting requirements. Experience of working with key external improvement agencies. Experience of the Federated Data Platform.
Knowledge:
- Essential: In depth and extensive specialist professional knowledge across several disciplines, insight and analysis, information development, data warehouse design, financial management, performance management, information systems, staff management acquired through training and experience over an extended period. High-level awareness of Board-level working in a complex and changing organisation. Ability to influence at all levels and a highly strategic thinker. Passionate and committed to bring our Dedicated to Excellence values to life, improving the way we work with each other, particularly focusing on empowerment, equality diversity and inclusion of our staff, patients and service users. Able to withstand frequent demands for support from colleagues who are emotionally impacted by change. Must demonstrate the Trust's values around both raising concerns at work, and how to treat others who raise concerns. Able to remain calm and considered when managing major incidents and service restorations. Deliver effectively. Demonstrate accountability. Display integrity.
Skills:
- Essential: Strong analytical leadership and ability to provide direction to analytical delivery team members. Ability to analyse and appropriately present often highly complex information, analytical methods and concepts, identify necessary action and make recommendations and follow these through to both technical and non-technical audiences, e.g. presenting at Board level. Ability to make decisions autonomously, when required, on difficult or contentious issues where there may be several courses of action responding openly to questions to ensure full understanding and engagement. Ability to self-motivate and work on own initiative and organise own workload and that of the team to operate effectively. Ability to adopt an adaptive leadership style to deliver strategic programmes in a politically sensitive and complex environment. Track record delivering presentations to large groups of stakeholders in often pressured and politically sensitive environments. Intellectual flexibility with the ability to cut through ambiguity and complexity and to shape and implement a vision that looks beyond existing structures, ways of working, boundaries, and organisations to produce more effective and innovative service delivery models. Excellent interpersonal skills, including high-level negotiation and influencing, development and coaching, and managing performance effectively. Ability to interpret reports, with often highly complex information and advise managers on likely problem areas using narrative and graphical presentations. Advanced verbal communication skills; ability to build rapport with a wide range of stakeholders at all levels and to develop wider networks. Advanced written communication skills; ability to convey highly complex information in a way that is understood by a range of target audiences. Advanced analytical skills to identify and prioritise key actions that will deliver greatest value in a business intelligence context. Sound political judgment and sensitivity when dealing with stakeholders at all levels, with a strong ability to influence where expert opinions differ and barriers to understanding and acceptance exist. Use of analytical skills while troubleshooting major incidents or conducting single point of failure analysis. Experience of dealing with novel and unique issues where no precedence is set or where professional opinion may conflict. Track record of effective engagement, negotiating and partnership working with senior internal and external stakeholders. Ability to lead innovation in AI, machine learning, and predictive analytics in a healthcare context.
- Desirable: Track record of communicating externally (blogging, Twitter, conference speaking) about your professional role and raising the profile of an organisation.
Chief Data and Analytics Officer employer: National Health Service
Betsi Cadwaladr University Health Board is an exceptional employer, offering a supportive and collaborative work environment for healthcare professionals in North Wales. With a commitment to employee development and a focus on compassionate care, staff have access to continuous professional development opportunities and the chance to make a meaningful impact in both acute and community paediatrics. The Health Board's integrated approach ensures that employees are part of a dynamic team dedicated to improving health outcomes for the local population.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Data and Analytics Officer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like National Health Service!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Chief Data and Analytics Officer at National Health Service.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like National Health Service.
✨Apply Directly through Our Website
When you find a suitable opening like Chief Data and Analytics Officer at National Health Service, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Chief Data and Analytics Officer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at National Health Service, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at National Health Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at National Health Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at National Health Service!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.