Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
June 25, 2026
Remote friendly (Titusville, NJ)
United States
IT
Role Summary
The Senior Manager Data Products – Therapeutic Area (TA) is responsible for shaping and delivering high‑value, user‑centric data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products by translating scientific and analytics use cases into functional/technical requirements.
- Contribute to and execute a TA data product roadmap aligned with enterprise data strategy (discovery, translational research, clinical development, real-world evidence).
- Lead or support agile product delivery, ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Drive integration and harmonization of internal/external data sources (clinical trial data, omics, imaging, competitor intelligence, registries, RWE).
- Contribute to TA ontology development, curation, and application for semantic consistency.
- Align semantic models/metadata with enterprise standards and frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Partner to ensure data products are AI‑ready and semantically enriched.
- Provide day‑to‑day leadership to product owners, data engineers, and TA data domain experts; mentor team capabilities.
- Define/monitor product KPIs; communicate progress and value realization.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D focused on data products, data engineering, analytics platforms, or data science.
- Experience delivering domain-specific TA data products.
- Hands-on experience with multi-modal data (omics, imaging, translational, clinical trial data, and/or RWD/RWE).
- Strong understanding of data product design, modeling, integration, transformation.
- Familiarity with research, clinical development, and regulatory data requirements.
- Working knowledge of metadata management, ontologies/semantic models, and knowledge graphs.
- Experience aligning with data standards (e.g., CDISC, GA4GH, FHIR).
Preferred Skills
Advanced Analytics; Consulting; Critical Thinking; Data Analysis; Data Privacy Standards; Data Quality; Data Reporting; Data Savvy; Data Science; Data Visualization; Digital Fluency; Econometric Models; Mentorship; Strategic Thinking; Tactical Planning; Technical Credibility.
The Senior Manager Data Products – Therapeutic Area (TA) is responsible for shaping and delivering high‑value, user‑centric data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products by translating scientific and analytics use cases into functional/technical requirements.
- Contribute to and execute a TA data product roadmap aligned with enterprise data strategy (discovery, translational research, clinical development, real-world evidence).
- Lead or support agile product delivery, ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Drive integration and harmonization of internal/external data sources (clinical trial data, omics, imaging, competitor intelligence, registries, RWE).
- Contribute to TA ontology development, curation, and application for semantic consistency.
- Align semantic models/metadata with enterprise standards and frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Partner to ensure data products are AI‑ready and semantically enriched.
- Provide day‑to‑day leadership to product owners, data engineers, and TA data domain experts; mentor team capabilities.
- Define/monitor product KPIs; communicate progress and value realization.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D focused on data products, data engineering, analytics platforms, or data science.
- Experience delivering domain-specific TA data products.
- Hands-on experience with multi-modal data (omics, imaging, translational, clinical trial data, and/or RWD/RWE).
- Strong understanding of data product design, modeling, integration, transformation.
- Familiarity with research, clinical development, and regulatory data requirements.
- Working knowledge of metadata management, ontologies/semantic models, and knowledge graphs.
- Experience aligning with data standards (e.g., CDISC, GA4GH, FHIR).
Preferred Skills
Advanced Analytics; Consulting; Critical Thinking; Data Analysis; Data Privacy Standards; Data Quality; Data Reporting; Data Savvy; Data Science; Data Visualization; Digital Fluency; Econometric Models; Mentorship; Strategic Thinking; Tactical Planning; Technical Credibility.