About the role
Our Future Health is building one of the world's most significant health research resources. Researchers should be able to use that data to improve the prevention, detection and treatment of disease. Today, researchers can spend significant time preparing, mapping and harmonising data before they can begin their analysis. Our Future Health is creating a new Data Harmonisation squad to address more of that work once, at source: turning trusted data into reusable, interoperable products that are easier to analyse and combine.
Responsibilities
•Set the strategy, roadmap and measures of success for the new Data Harmonisation capability
•Work directly with external researchers and internal experts to understand where data preparation and interoperability create barriers to research
•Prioritise datasets, use cases and standards according to researcher value and strategic impact
•Lead the squad's initial work with OMOP, while building capabilities that can support other models and standards where there is a clear need
•Develop reusable derived data products from trusted source data, with clear boundaries between source products and harmonised products
•Shape reusable approaches to transformation, ontologies, semantics, metadata, provenance and versioning
•Make AI readiness a core product outcome by ensuring data is consistently structured, clearly defined, machine-readable and traceable
•Design for reuse across Data Access and the Clinical Research Recruitment Service when the same underlying need exists
•Establish measures that show whether researchers spend less time preparing data and can reach meaningful analysis sooner
•Work with Engineering and data specialists to make sound product decisions in a technically complex area
•Make and communicate clear prioritisation decisions, including the evidence, assumptions and trade-offs behind them
•Champion user-centred, evidence-based product development and contribute to the wider Product community
Requirements
•Experience as a Senior Product Manager, with ownership of 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 to understand their needs and identify the right problems to solve
•The product judgement to choose where to invest, make clear trade-offs and decide what not to build
•Experience translating broad strategic goals into a clear product direction, priorities and measurable outcomes
•Experience working with complex data products, platforms or data-intensive services
•Enough technical understanding to work effectively with engineering and data specialists on data models, semantics, metadata and interoperability
•An understanding of how well-structured, machine-readable and clearly described data supports advanced analytics and AI-enabled products
•Experience leading cross-functional teams in complex or matrix environments
•Strong critical thinking and prioritisation skills, including the ability to work through technical ambiguity and incomplete evidence
•Excellent communication skills, with the ability to make complex technical choices understandable to different audiences
•Comfort working in a product area where the strategy, technology and customer needs are still evolving
Nice to have
•Experience with health, clinical, scientific or research data
•Experience with Common Data Models, ontologies, terminology systems or interoperability standards
•Familiarity with OMOP or comparable healthcare data standards, such as i2b2, CDISC or FHIR
•Experience building data products or platforms for AI, machine learning or advanced analytics
•Experience with data lineage, provenance, versioning or reproducibility
•Experience in a regulated environment where research utility, governance, security and trust need to be balanced
Conditions
•Salary from £76,000
•Generous Pension Scheme - employer contributions of up to 12%
•30 Days Holiday + Bank Holidays, with flexibility to take bank holidays when it suits you
•Enhanced Parental Leave
•Cycle to Work Scheme - save 25-39% on a new bike and accessories through salary sacrifice
•Home & Tech Savings - up to 8% off on IKEA and Currys products, spread over 12 months through salary sacrifice
•£1,000 Employee Referral Bonus
•Wellbeing Support - Mental Health First Aiders, 24/7 online GP services and an Employee Assistance Programme for you and your family
•A Central London office in Holborn, with flexible and remote working arrangements
