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Senior Product Manager – Data Harmonisation
Our Future Health UK. Own the outcomes, strategy and roadmap for the Data Harmonisation capability .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management with a focus on data harmonisation, including the ability to lead cross-functional teams and translate strategic goals into measurable outcomes. Proficient in developing data products that are machine-readable and support advanced analytics and AI-enabled research.
Highest-signal resume keywords
Senior Product ManagementData Harmonisation StrategyComplex Data ProductsInteroperability StandardsCross-Functional Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelsMetadataData TransformationProduct DevelopmentAI-Enabled ProductsData LineageProvenanceVersioningAdvanced AnalyticsCommon Data Models
Soft Skills
Critical ThinkingPrioritisationCommunicationDiscovery SkillsUser-Centred Development
Tools & Technologies
OMOPI2b2CDISCFHIR
Industry Keywords
Health DataClinical DataScientific DataResearch DataData Interoperability
About the role
Key responsibilities & impact- Own the outcomes, strategy and roadmap for the Data Harmonisation capability
- Work with researchers, data specialists and Product and Science colleagues to turn ambitions into product choices and measurable improvements
- Lead development of derived data products from trusted source data
- Define reusable capabilities for data transformation, ontologies, metadata, provenance and versioning
- Build products that make data consistently structured, semantically clear, machine-readable and traceable for AI-enabled research
- Work with external researchers and internal experts to identify data preparation and interoperability barriers
- Prioritise datasets, use cases and standards based on researcher value and strategic impact
- Lead initial work transforming priority NHS datasets into the OMOP Common Data Model
- Build capabilities supporting other models and standards where needed
- Establish boundaries between source products and harmonised products
- Design reuse across Data Access and the Clinical Research Recruitment Service
- Measure whether researchers spend less time preparing data and reach meaningful analysis sooner
- Partner with Engineering, Data Engineering, Data Science, Science and other specialists
- Communicate technical trade-offs and prioritisation decisions clearly
- Champion user-centred, evidence-based product development and contribute to the wider Product community
Requirements
What you’ll need- Experience as a Senior Product Manager owning complex product outcomes and strategy
- Experience building a product, platform or capability from the ground up, or significantly reshaping one so it can scale
- Strong discovery skills and experience working directly with specialist users
- Product judgement to choose where to invest, make trade-offs and decide what not to build
- Experience translating strategic goals into product direction, priorities and measurable outcomes
- Experience with complex data products, platforms or data-intensive services
- Technical understanding of data models, semantics, metadata and interoperability
- Understanding of well-structured, machine-readable and clearly described data for advanced analytics and AI-enabled products
- Experience leading cross-functional teams in complex or matrix environments
- Strong critical thinking and prioritisation skills
- Excellent communication skills, including explaining complex technical choices to different audiences
- Comfort working in an evolving product area
- Helpful: experience with health, clinical, scientific or research data
- Helpful: experience with Common Data Models, ontologies, terminology systems or interoperability standards
- Helpful: familiarity with OMOP, i2b2, CDISC or FHIR
- Helpful: experience building data products or platforms for AI, machine learning or advanced analytics
- Helpful: experience with data lineage, provenance, versioning or reproducibility
- Helpful: experience in regulated environments balancing research utility, governance, security and trust
Benefits
Comp & perks- Employer pension contributions of up to 12%
- 30 days holiday plus bank holidays, with flexibility to take bank holidays when it suits you
- Enhanced parental leave
- Cycle to Work Scheme with 25–39% savings on a new bike and accessories
- Home & Tech Savings with up to 8% off IKEA and Currys products, payable over 12 months through salary sacrifice
- £1,000 employee referral bonus
- Mental Health First Aiders
- 24/7 online GP services
- Employee Assistance Programme for you and your family
- Central London office
- Flexible and remote working arrangements
- Reasonable adjustments available during the application process