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Job requirements
Essential
52 listedRequirements the employer expects applicants to meet.
- Qualifications
Master’s degree or equivalent experience in a relevant subject (e.g. Data Science, Computer Science, Analytics, Statistics)
- Qualifications
Evidence of continuing professional development in data engineering, analytics or informatics
- Analytical and Judgement Skills
Highly developed analytical skills with the ability to interpret complex datasets and derive insight
- Analytical and Judgement Skills
Ability to lead on highly complex, non-routine problems
- Analytical and Judgement Skills
Ability to translate organisational challenges into analytical approaches and solutions
- Analytical and Judgement Skills
Ability to evaluate and implement advanced data engineering or analytical methodologies
- Analytical and Judgement Skills
Ability to make strategic decisions on data architecture, platforms and analytics approaches
- Analytical and Judgement Skills
Ability to assess risk and impact of data, systems and analytical outcomes
- Analytical and Judgement Skills
Good communication and interpersonal skills, including the ability to provide detailed informatics and technical advice to both other specialists and non-IT or Informatics staff.
- Analytical and Judgement Skills
Excellent written and verbal skills.
- Analytical and Judgement Skills
Ability to manage own workload as well as the workload of staff.
- Analytical and Judgement Skills
Ability to use own initiative to determine the most appropriate methods to achieve expected work tasks and outcomes.
- Analytical and Judgement Skills
Ability to strategically plan architectural design of databases or data models for future deployment and reporting
- Knowledge & Nature of Experience
Significant experience of leading data engineering, analytics or informatics services in a complex organization
- Knowledge & Nature of Experience
Experience managing teams and delivering services, including workforce planning and staff development
- Knowledge & Nature of Experience
Experience working with large, complex and sensitive datasets derived from multiple clinical and corporate systems
- Knowledge & Nature of Experience
Experience working with senior stakeholders including clinicians, operational managers and executive leadership
- Knowledge & Nature of Experience
Experience delivering strategic change, transformation programmes or major system developments
- Knowledge & Nature of Experience
Experience translating business, operational or clinical requirements into technical or analytical solutions
- Knowledge & Nature of Experience
Significant depth of experience in EITHER: Data engineering, data platforms, database development or data warehousing (engineering-led) OR Analytics, advanced analytics or data science (analytics-led)
- Knowledge & Nature of Experience
Demonstrable ability to work across both domains and lead teams covering data engineering and analytics functions
- Knowledge & Nature of Experience
Extensive experience of SQL Server database management, including performance optimisation and indexing strategies
- Knowledge & Nature of Experience
Extensive data warehouse management experience specializing in managing a medium-to-large data warehouse and associated data structures
- Knowledge & Nature of Experience
Significant experience of designing and managing data warehouses and ETL/ELT pipelines
- Knowledge & Nature of Experience
Advanced querying skills using T-SQL or equivalent against large relational database management systems
- Knowledge & Nature of Experience
Experience of extracting, transforming and loading complex data from multiple clinical and corporate systems
- Knowledge & Nature of Experience
Experience of database design and data modelling within a healthcare or complex organisational environment
- Knowledge & Nature of Experience
Proven experience in the generation of SSIS packages
- Knowledge & Nature of Experience
Experience of developing or leading analytics / data science capability
- Knowledge & Nature of Experience
Experience of interpreting and analysing complex information and presenting it in a simplified manner.
- Knowledge & Nature of Experience
Extensive experience of supporting clinical and operational teams through provision of high-quality information and analysis
- Knowledge & Nature of Experience
Experience of interpreting and analysing data and applying this to inform decision-making
- Knowledge & Nature of Experience
Experience of advanced analytical approaches such as forecasting, statistical modelling or segmentation
- Knowledge & Nature of Experience
Experience generating reports and dashboards using business intelligence tools such as Power BI or equivalent
- Knowledge & Nature of Experience
Experience of handling, analysing and manipulating large, complex datasets in a secure and controlled manner
- Knowledge & Nature of Experience
Experience communicating complex technical or analytical information to both technical and non-technical audiences
- Personal Skills/Abilities and Attributes
Ability to work under pressure within tight deadlines
- Personal Skills/Abilities and Attributes
Ability to build positive relations within and outside the organisation, with health professionals and managers.
- Personal Skills/Abilities and Attributes
Ability to influence and interact with people at various levels including senior stakeholders.
- Personal Skills/Abilities and Attributes
Ability to work effectively in a team.
- Personal Skills/Abilities and Attributes
Confident, highly motivated and able to use own initiative.
- Personal Skills/Abilities and Attributes
Ability to resolve problems effectively
- Personal Skills/Abilities and Attributes
Significant attention to detail, given the nature of the role needs advanced concentration and highly developed analytical skills with a drive for accuracy
- Professional/Managerial/Specialist Knowledge
Understanding of data governance, data quality and information standards
- Professional/Managerial/Specialist Knowledge
Understanding of analytics governance, model assurance and ethical use of data
- Professional/Managerial/Specialist Knowledge
Knowledge of emerging technologies and trends in data engineering and analytics
- Professional/Managerial/Specialist Knowledge
Demonstrable skills in using SQL Server, MS Excel, PowerBI
- Professional/Managerial/Specialist Knowledge
Data Warehouse Extract, Transformation and Load (ETL) concepts and methodology
- Professional/Managerial/Specialist Knowledge
Knowledge and a strong interest in informatics, analytics and programming, underpinned by significant experience and/or theoretical study.
- Professional/Managerial/Specialist Knowledge
Highly specialist knowledge of SQL Server and associated technologies (e.g. SSIS, SSRS, SSAS or equivalent)
- Professional/Managerial/Specialist Knowledge
Knowledge of advanced analytics techniques, including statistical modelling
- Professional/Managerial/Specialist Knowledge
Knowledge of analytics tools and approaches including data visualisation, modelling and insight generation
Desirable
9 listedAdditional qualities the employer would prefer.
- Qualifications
Professional certification or formal training in data platforms, cloud technologies or analytics tools
- Analytical and Judgement Skills
Detailed technical understanding of Software Development Processes
- Knowledge & Nature of Experience
Experience developing relationships with external partners including other NHS organisations, academia or industry
- Knowledge & Nature of Experience
Experience of working within NHS data standards, data dictionary and reporting requirements
- Knowledge & Nature of Experience
Experience of using analytics or data science tools and languages (e.g. Python, R or equivalent) to enable advanced analytics and insight generation
- Knowledge & Nature of Experience
Experience of programming languages such as ASP.NET, C#, JavaScript
- Knowledge & Nature of Experience
Experience of working with Electronic Patient Record systems (e.g. Epic) and associated data platforms such as Caboodle
- Professional/Managerial/Specialist Knowledge
Knowledge and understanding of procedures and guidelines around NHS central returns, commissioning datasets and contract monitoring.
- Professional/Managerial/Specialist Knowledge
Highly specialist detailed knowledge of data management and core business such (e.g. 18 weeks Referral to Treatment Time) and being able to apply technical database design skills to this very complex rules set.
Job overview
We are seeking an experienced and forward-thinking Informatics Development Manager to lead the Trust’s data engineering, data platform and analytics capability.
This is a rare opportunity to shape the future of data and analytics within one of the UK's leading specialist NHS organisations at a pivotal point in its digital transformation journey.
Following the recent implementation of the Epic Electronic Patient Record (EPR) system and Epic Caboodle enterprise data warehouse, the Trust has access to an unprecedented breadth and depth of clinical and operational data. We are now looking for a leader who can help unlock the full value of these data assets, developing the data platform, expanding analytics capability and establishing the foundations for advanced analytics and data science.
You will lead a specialist team delivering data engineering and analytics services, ensuring the Trust has a robust, scalable and future-focused data capability that underpins reporting, insight, innovation and decision-making across the organisation.
About the Role
This role sits at the heart of our Informatics function and is responsible for:
- Leading the Trust’s data engineering and data platform capability
- Ensuring high-quality, well-structured data is available to support reporting and analytics
- Developing and leading advanced analytics capability, including predictive and modelling approaches
- Setting the strategic direction for data architecture, tools and platforms
- Building partnerships with clinical teams, operational leaders and external organisations
This role offers the opportunity to work at the centre of a major organisational transformation. The implementation of Epic has significantly expanded the Trust’s data landscape, creating new opportunities to curate, model and exploit data in ways that were not previously possible. The successful candidate will play a leading role in determining how these new data assets are utilised to improve patient care, operational performance and organisational effectiveness.
Main duties of the job
Who We’re Looking For
This role would particularly suit candidates who are excited by the opportunity to build capability and shape services, rather than simply maintain existing ones. We are looking for someone who can help define the next phase of the Trust’s data journey, taking advantage of the opportunities created by Epic and helping establish advanced analytics and data science as core organisational capabilities.
We recognise that candidates may come from different backgrounds. We are particularly interested in applicants who have:
A strong foundation in one of the following:
- Data Engineering / Data Platform leadership
- Analytics / Business Intelligence / Data Science leadership
And the ability to:
- Lead end-to-end data and analytics capability, even if your technical background is stronger in one area
- Work across technical and non-technical stakeholders, translating complex requirements into deliverable solutions
- Set strategy, direction and standards for data and analytics services
________________________________________
What You’ll Bring
You will ideally have:
- Significant experience of leading data, analytics or informatics services in a complex organisation
- Strong understanding of:
- Data platforms, data warehousing and ETL processes
- Analytics and insight generation (including advanced analytics approaches)
- Experience working with large, complex datasets
- Experience engaging with senior stakeholders, including clinical and executive colleagues
- Experience leading teams, services and programmes
Important Note on Skillsets
We recognise that candidates are unlikely to have deep technical expertise in both data engineering and advanced analytics.
We welcome applications from candidates who:
- Have depth in one area (e.g. engineering or analytics)
- And demonstrate the ability to lead across both domains
Please refer to the JD/PS attachment to see details of which of the Person Specification criteria are essential/desirable for engineering led or analytics led applications.
Interviews expected to take place in the last 2 weeks of September
Detailed job description and main responsibilities
Please refer to the attached job description and person specification to view the full details for this opportunity at Birmingham Women’s and Children’s NHS Foundation Trust.
When completing your application, please ensure you have evidenced how you meet the job description and person specification to include transferable experience, qualifications, skills along with professional registration details (if applicable).
Occasionally we receive a large number of applications for our roles and when that happens we sometimes bring the closing date forward, so please apply promptly to avoid disappointment.
Applicant requirements
The postholder will have access to vulnerable people in the course of their normal duties and as such this post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (Amendment) (England and Wales) Order 2020 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service to check for any previous criminal convictions.
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Applying for this NHS job
This advert is for Informatics Development Manager with Birmingham Women's and Children's NHS Foundation Trust in Birmingham, England. It is listed as a Band 8 Manager role. The advertised salary is £66,582 - £77,368 Per Annum. The contract type is Permanent. The application deadline is 23 Aug 2026.
Before you apply, compare the job description with the person specification and mirror the employer's essential criteria in your supporting information. Use the vacancy title, employer, location, salary, contract type, closing date and posted date (23 Jul 2026) to decide whether this role fits your current NHSjob search. If the employer can close applications early, prepare the application before the stated deadline rather than waiting for the final day.
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