Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
3 days ago
Remote friendly (New Brunswick, NJ)
United States
IT
Role Summary
The Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers user-centric data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products; translate scientific/analytics use cases into functional/technical requirements.
- Execute a TA data product roadmap aligned with enterprise data strategy (discovery, translational research, clinical development, real-world evidence).
- Lead/support agile delivery; adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable).
- Integrate/harmonize internal and external data sources (clinical trial data, omics, imaging, competitor intelligence, registries, RWE).
- Develop/curate TA ontologies; align semantic models and metadata to enterprise standards and frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Co-design products with TA Data Science and scientific stakeholders; ensure integration into enterprise knowledge graphs/catalogs/platforms.
- Provide day-to-day leadership to product owners/data engineers/TA data experts; support governance and agile delivery standards.
- Define/monitor product KPIs; communicate progress and value realization; champion adoption and data literacy.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D (data products/data engineering/analytics platforms/data science).
- Proven domain-specific data product delivery; hands-on multi-modal data (omics, imaging, translational/clinical trial and/or RWD/RWE).
- Strong data product design, modeling, integration, transformation; familiarity with research/clinical development/regulatory data.
- Working knowledge of metadata management, ontologies/semantic models, knowledge graphs; experience aligning with CDISC, GA4GH, FHIR.
- Strong collaboration/communication/influence; ability to drive adoption in a matrixed organization.
Required/Preferred Skills
Required: Advanced Analytics, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Science, Data Visualization, Digital Fluency, Critical Thinking, Strategic Thinking, Tactical Planning, Technical Credibility, Mentorship, Consulting.
Benefits (time off)
Vacation (120 hours/year); Sick time (40 hours/year; Colorado 48; Washington 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 family; extended 40); Caregiver Leave (80 hours); Volunteer Leave (32 hours); Military Spouse Time-Off (80 hours).
The Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers user-centric data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products; translate scientific/analytics use cases into functional/technical requirements.
- Execute a TA data product roadmap aligned with enterprise data strategy (discovery, translational research, clinical development, real-world evidence).
- Lead/support agile delivery; adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable).
- Integrate/harmonize internal and external data sources (clinical trial data, omics, imaging, competitor intelligence, registries, RWE).
- Develop/curate TA ontologies; align semantic models and metadata to enterprise standards and frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Co-design products with TA Data Science and scientific stakeholders; ensure integration into enterprise knowledge graphs/catalogs/platforms.
- Provide day-to-day leadership to product owners/data engineers/TA data experts; support governance and agile delivery standards.
- Define/monitor product KPIs; communicate progress and value realization; champion adoption and data literacy.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D (data products/data engineering/analytics platforms/data science).
- Proven domain-specific data product delivery; hands-on multi-modal data (omics, imaging, translational/clinical trial and/or RWD/RWE).
- Strong data product design, modeling, integration, transformation; familiarity with research/clinical development/regulatory data.
- Working knowledge of metadata management, ontologies/semantic models, knowledge graphs; experience aligning with CDISC, GA4GH, FHIR.
- Strong collaboration/communication/influence; ability to drive adoption in a matrixed organization.
Required/Preferred Skills
Required: Advanced Analytics, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Science, Data Visualization, Digital Fluency, Critical Thinking, Strategic Thinking, Tactical Planning, Technical Credibility, Mentorship, Consulting.
Benefits (time off)
Vacation (120 hours/year); Sick time (40 hours/year; Colorado 48; Washington 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 family; extended 40); Caregiver Leave (80 hours); Volunteer Leave (32 hours); Military Spouse Time-Off (80 hours).