Senior Manager Data Products Therapeutic Area
Overview
Lead high‑value data products enabling advanced analytics AI ML across therapeutic areas. Own delivery of TA‑facing data products translate scientific needs into scalable AI‑ready solutions. Drive integration harmonization and semantic enrichment partner with data science and scientific stakeholders.
What You'll Do12
- 1Own delivery of TA‑facing data products translating scientific and analytics use cases into clear functional and technical requirements
- 2Contribute to and execute a TA data product roadmap aligned with enterprise data strategy spanning discovery translational clinical and real‑world evidence
- 3Lead or support agile product delivery ensuring adherence to FAIR data principles
- 4Drive integration and harmonization of internal and external data sources including clinical trial data omics imaging competitor intelligence registries and RWE datasets
- 5Contribute to development curation and application of TA ontologies to ensure semantic consistency across domains
- 6Partner with ontology metadata and governance teams to make data products AI‑ready and semantically enriched
- 7Collaborate with TA Data Science clinical translational and scientific stakeholders to co‑design data products that maximize scientific and analytics value
- 8Support implementation of governance models agile practices and delivery standards for TA data products
- 9Act as coach and mentor strengthening product semantic and data literacy within the team
- 10Define and monitor product‑level KPIs assessing impact on scientific insights analytics velocity trial efficiency and regulatory outcomes
- 11Communicate progress outcomes and value realization to TA leadership data science teams and broader stakeholders
- 12Champion adoption reuse and data literacy within the TA community
Requirements8
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data product initiatives in pharma biotech or data science
- 35+ years experience delivering domain‑specific data products within a therapeutic area or scientific domain
- 4Hands‑on experience with multi‑modal data including omics imaging translational clinical trial data and RWD/RWE
- 5Strong understanding of data product design data modeling integration and transformation
- 6Familiarity with metadata management ontologies semantic models and knowledge graphs
- 7Working knowledge of industry and enterprise data standards such as CDISC GA4GH FHIR
- 8Proven ability to drive adoption and change in a complex matrixed organization
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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