Analytical Assurance & Data Ethics Lead
| Posting date: | 14 July 2025 |
|---|---|
| Salary: | £55,690.00 to £62,682.00 per year |
| Additional salary information: | £55690.00 - £62682.00 a year |
| Hours: | Full time |
| Closing date: | 23 July 2025 |
| Location: | Newcastle Upon Tyne, NE15 8NY |
| Company: | NHS Jobs |
| Job type: | Permanent |
| Job reference: | G9914-25-0177 |
Summary
In this role, you are accountable for: Professional analytical and ethical data leadership and standards 1. Working with the Head of Data Science, Advanced Analytics & Statistics, develops and evolves a proportional organisational approach to analytical review and improvement and data ethics, ensuring processes are robust and in line with government standards, including the Aqua Book, Code of Practice for Statistics, Data Ethics Framework and relevant Government Functional Standards. This includes the development and maintenance of playbooks, standards and resources to be used across the NHSBSA. 2. Jointly responsible for the teaching/delivery of specialist training to enhance analytical and data ethics knowledge and skills of colleagues across the NHSBSA. This includes individuals and groups at all levels of the organisation. 3. Champions and raises awareness of analytical quality and data ethics issues at all levels in the organisation. Listens to, convenes, advises and facilitates difficult discussions between various parts of the organisation, while focusing on user needs. 4. Works collaboratively with a range of teams, networks and product owners across the organisation to embed principles. Including but not limited to Information Governance, Data Governance, Data Platforms, Data & Analytics Communities, Heads of Service, Inclusion Accessibility and Social Impact Lead, Statistical Publication Lead, Data Science & Advanced Analytics Lead and Open Data Lead. 5. Provides specialist advice, guidance and thought leadership across the NHSBSA on: a. complex statistical, modelling and analytical matters to support coherence, transparency, quality, value and trustworthiness of data and statistics b. the ethical collection, sharing and use of data throughout the organisation including the application of data science techniques, AI and generative AI to support transparency, accountability and fairness. This includes demonstrating how to apply principles in practice and could relate to difficult and highly complex and/or contentious subject matter. It applies to individuals and groups of customers at all levels. 6. Develops frameworks for identifying, collecting, monitoring and assuring: a. Business Critical Models (BCMs) and completing returns for DHSC. These are models/analysis where: The model or its outputs are used to inform essential financial and funding decisions Or the model is essential to achievement of business plan actions and priorities Or there is a high risk of damage to NHSBSA if the model is used and then subsequently found to have an error (e.g. serious reputational, financial or legal consequences) b. Algorithm Transparency Recording Standard (ATRS) and completing returns for Central Digital and Data Office. These are algorithmic, statistical or analytical tools that either: 1. have a significant influence on a decision-making process with public effect, or2. directly interact with the general public. 7. Undertakes reviews of important and complex analytical products including Business Critical Models to assure that analysis is fit for purpose and meets user needs. Including but not limited to assessing: Clarity of scope Appropriate data inputs, analytical methods and processes to produce high quality, realistic results Assumptions, risk and uncertainty are understood, managed, documented and communicated Appropriate outputs and communication of results to users This includes applying expert knowledge of advanced statistical and machine learning approaches to verify and validate models/analysis and identify opportunities for improvement. 8. Undertakes reviews of data products and services, data science projects and policies to ensure that ethical considerations are embedded. Including but not limited to assessing: Project outcomes Choice and application of techniques Assumptions Potential negative consequences or sources of bias 9. Finance: The postholder contributes towards the service budget setting and headcount. Postholder will be a delegate for the service budget. 10. Communicates complex data and analyses effectively at all levels to both technical and non-technical audiences, using a range of dissemination methods. Ensures strengths and limitations are fully understood and communicated. 11. Identifies, records and mitigates organisational risks and issues associated with analytics and data ethics. Working within the NHSBSA risk management framework. 12. Jointly leads on the development of the Data & Analytics communities across the NHSBSA. 13. Contributes to the leadership of the Data Science, Advanced Analytics & Statistics service. This will include the development of the strategic direction of the service, Data and DDaT, in line with the NHSBSA Strategy. As well as promoting the value of the service within the NHSBSA and wider health and care system. 14. Keeps up to date with emerging trends, issues best practice and applicable legislation to continuously improve analytical outputs and assurance and data ethics processes. 15. Demonstrates the value of NHSBSA data and insight through networking, speaking at external events and working in the open. 16. Represents the organisation on matters relating to analytical assurance and data ethics in the NHS, DHSC, Central Digital and Data Office, Communities of Practice and wider, building lasting and strong relationships with peers across the system. This will include learning from and sharing best practice and expertise, collaboratively developing processes, polices and standards and joint working. 17. Takes responsibility for your own continuous professional development.