Senior Manager, Data Products - Therapeutic Area

Own the delivery of TA‑facing data products, translating scientific and analytics use cases into clear functional and technical requirements. Contribute to and execute a TA data product roadmap aligned with enterprise data strategy, spanning discovery, translational research, clinical development, and real‑world evidence. Lead or support agile product delivery, ensuring adherence to FAIR data principles (Findable, Accessible, Interoperable, Reusable). Drive integration and harmonization of internal and external data sources, including clinical trial data, omics, imaging, competitor intelligence, registries, and RWE datasets. Contribute to the development, curation, and application of TA ontologies to ensure semantic consistency across discovery, clinical, regulatory, and real‑world data. Align TA semantic models and metadata with enterprise standards and external frameworks (e.g.,

CDISC

, GA4GH, FHIR, NCI Thesaurus). Partner with ontology, metadata, and governance teams to ensure data products are AI‑ready and semantically enriched. Partner closely with TA Data Science, clinical, translational, and scientific stakeholders to co‑design data products that maximize scientific and analytics value. Collaborate with Data Product Architecture & Governance, Knowledge Management, and Master Data Management teams to ensure seamless integration into enterprise knowledge graphs, catalogs, and platforms. Interface with IT, compliance, and regulatory partners to ensure data products meet quality, privacy, and global regulatory expectations. Provide day‑to‑day leadership and technical direction to product owners, data engineers, and TA data domain experts. Support the implementation of governance models, agile practices, and delivery standards for TA data products. Act as a coach and mentor, strengthening product, semantic, and data literacy capabilities within the team. Define and monitor product‑level KPIs to assess impact on scientific insights, analytics velocity, trial efficiency, and regulatory outcomes. Communicate progress, outcomes, and value realization to TA leadership, Data Science teams, and broader stakeholders. Actively champion adoption, reuse, and data literacy within the TA community. Requirements PhD or Master’s degree in Informatics, Computer Science, Data Science, Life Sciences, or a related discipline. 6–10+ years of experience in pharma/biotech R&D with a focus on data products, data engineering, analytics platforms, or data science. Demonstrated experience delivering domain‑specific data products within a Therapeutic Area or scientific domain. Hands‑on experience with multi‑modal data, including 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 (e.g., CDISC, GA4GH, FHIR). Strong collaboration, communication, and influence skills, with the ability to bridge scientific, technical, and business perspectives. Proven ability to drive adoption and change in a complex, matrixed organization. Core Competencies Expertise in delivering data products within therapeutic areas, with a strong focus on data integration, modeling, and transformation. Proven ability to collaborate across scientific, technical, and business domains while adhering to industry standards and regulatory requirements. Highest-signal resume keywords PhD Or Master’s Degree In Informatics 6–10+ Years Of Experience In Pharma/Biotech R&D Hands-On Experience With Multi-Modal Data Strong Understanding Of Data Product Design Experience Aligning With Industry Data Standards ATS Optimization Keywords Hard Skills Data Product Delivery Data Engineering Data Integration Data Modeling Data Transformation Multi-Modal Data Analysis Clinical Trial Data Management Ontologies Development Metadata Management Semantic Models Soft Skills Collaboration Communication Influence Coaching Mentoring Industry Keywords Therapeutic Area Real-World Evidence Clinical Development Regulatory Data Requirements CDISC

GA4GH

FHIR Tools & Technologies Knowledge Graphs Agile Practices Data Analytics Platforms FAIR Data Principles Enterprise Data Strategy #J-18808-Ljbffr Jobtailor