Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
June 25, 2026
Remote friendly (New Brunswick, 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 that enable advanced analytics, data science, and AI/ML capabilities across the Therapeutic Area.
Key Responsibilities
- Own delivery of TA‑facing data products; translate 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/support agile product delivery; adhere to FAIR data principles.
- Drive integration and harmonization of internal/external data (clinical trial data, omics, imaging, competitor intelligence, registries, RWE datasets).
- Contribute to development/curation/application of TA ontologies for semantic consistency.
- Align TA semantic models/metadata with enterprise standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus) and ensure products are AI‑ready.
- Partner with TA Data Science and stakeholders to co‑design products; collaborate with architecture/governance and knowledge/master data teams.
- Interface with IT, compliance, and regulatory partners to meet quality/privacy/global regulatory expectations.
- Provide day‑to‑day leadership to product owners, data engineers, and TA data domain experts; coach/mentor the team.
- 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/engineering/analytics/data science.
- Experience delivering TA domain data products; hands‑on multi‑modal data (omics, imaging, translational, clinical trial data, and/or RWD/RWE).
- Strong data product design, modeling, integration, and transformation.
- Familiarity with research, clinical development, and regulatory data requirements.
- Working knowledge of metadata, ontologies, semantic models, knowledge graphs; align with standards (CDISC, GA4GH, FHIR).
- Strong collaboration, communication, and influence; ability to drive adoption/change.
Required/Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Science, Data Visualization, Digital Fluency, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Benefits (time off)
- Vacation: 120 hours/year; Sick time: 40 hours/year (CO 48; WA 56); Holiday pay incl. Floating Holidays: 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate) and 40 hours (extended); Caregiver Leave: 80 hours in 52-week rolling period; Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.
The Senior Manager Data Products – Therapeutic Area (TA) is responsible for shaping and delivering high‑value, user‑centric data products that enable advanced analytics, data science, and AI/ML capabilities across the Therapeutic Area.
Key Responsibilities
- Own delivery of TA‑facing data products; translate 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/support agile product delivery; adhere to FAIR data principles.
- Drive integration and harmonization of internal/external data (clinical trial data, omics, imaging, competitor intelligence, registries, RWE datasets).
- Contribute to development/curation/application of TA ontologies for semantic consistency.
- Align TA semantic models/metadata with enterprise standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus) and ensure products are AI‑ready.
- Partner with TA Data Science and stakeholders to co‑design products; collaborate with architecture/governance and knowledge/master data teams.
- Interface with IT, compliance, and regulatory partners to meet quality/privacy/global regulatory expectations.
- Provide day‑to‑day leadership to product owners, data engineers, and TA data domain experts; coach/mentor the team.
- 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/engineering/analytics/data science.
- Experience delivering TA domain data products; hands‑on multi‑modal data (omics, imaging, translational, clinical trial data, and/or RWD/RWE).
- Strong data product design, modeling, integration, and transformation.
- Familiarity with research, clinical development, and regulatory data requirements.
- Working knowledge of metadata, ontologies, semantic models, knowledge graphs; align with standards (CDISC, GA4GH, FHIR).
- Strong collaboration, communication, and influence; ability to drive adoption/change.
Required/Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Science, Data Visualization, Digital Fluency, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Benefits (time off)
- Vacation: 120 hours/year; Sick time: 40 hours/year (CO 48; WA 56); Holiday pay incl. Floating Holidays: 13 days/year; Work/Personal/Family Time: up to 40 hours/year; Parental Leave: 480 hours; Bereavement: 240 hours (immediate) and 40 hours (extended); Caregiver Leave: 80 hours in 52-week rolling period; Volunteer Leave: 32 hours/year; Military Spouse Time-Off: 80 hours/year.