Senior Manager Data Products – Therapeutic Area (TA)
$137,000–$235,750 year
Hybrid · Cambridge, Massachusetts, United States or New Brunswick, New Jersey, United States
Job Summary
Senior Manager Data Products – Therapeutic Area (TA) leads the delivery of high-value, user-centric data products enabling advanced analytics, data science, and AI/ML across TA. Drives roadmap, ensures semantic consistency, and enables integration of diverse data sources (clinical trial, omics, imaging, RWE). Collaborates with TA Data Science, governance, and IT to ensure data products meet quality, privacy, and regulatory expectations, and to accelerate discovery, trial design, and regulatory readiness. Requires leadership of product teams, governance and agile practices, and the ability to communicate value to TA leadership and stakeholders. Emphasis on FAIR data principles, interoperability, and semantic enrichment to support enterprise knowledge graphs and platforms.
Required Qualifications
- PhD or Master’s degree in Informatics, Computer Science, Data Science, Life Sciences, or related discipline
- 6–10+ years of pharma/biotech R&D experience focusing on data products, data engineering, analytics platforms, or data science
- Hands-on experience with multi-modal data (omics, imaging, translational, clinical trial data, and/or RWD/RWE)
- Strong understanding of data product design, data modeling, data integration, and data transformation
- Familiarity with research, clinical development, and regulatory data requirements
- Working knowledge of metadata management, ontologies, semantic models, and knowledge graphs
- Experience aligning with industry and enterprise data standards (CDISC, GA4GH, FHIR)
- Strong collaboration, communication, and influence skills
- Proven ability to drive adoption and change in a complex, matrixed organization
Desired Qualifications
- Experience delivering domain-specific data products within pharma/biotech
- Hands-on experience with multi-modal data (omics, imaging, translational, clinical trial data, RWD/RWE)
- Strong collaboration and stakeholder management
- Experience with metadata management, ontologies, semantic models, and knowledge graphs
- Familiarity with industry data standards (CDISC, GA4GH, FHIR)
- Proven ability to drive adoption and change in matrix organizations
- Mentorship and leadership capabilities
- Advanced analytics, data visualization, and data governance familiarity
- Strategic thinking and tactical planning
- Technical credibility in data engineering, analytics platforms, and data science
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