Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
3 days ago
Remote friendly (San Diego, CA)
United States
IT
Role Summary
Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers high-value, user-centric, AI-ready data products enabling advanced analytics, data science, and AI/ML across preclinical, translational, clinical, competitive intelligence, and real-world data.
Key Responsibilities
- Own delivery of TA-facing data products; translate scientific/analytics use cases into functional and technical requirements.
- Execute a TA data product roadmap aligned to enterprise strategy; lead/support agile delivery and FAIR (Findable, Accessible, Interoperable, Reusable).
- Integrate and harmonize internal/external sources (clinical trials, omics, imaging, competitor intelligence, registries, RWE).
- Contribute to TA ontologies and semantic enrichment; align semantic models/metadata to enterprise standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Collaborate across TA Data Science, scientific stakeholders, architecture/governance, and IT/compliance/regulatory.
- Lead product owners/data engineers/TA domain experts; coach and mentor.
- Define/monitor product KPIs; communicate outcomes and drive adoption/reuse.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D in data products/engineering/analytics platforms/data science; delivered domain-specific TA data products.
- Hands-on multi-modal data experience (omics, imaging, translational/clinical trial/RWD/RWE).
- Strong data product design, modeling, integration, transformation; knowledge of metadata/ontologies/semantic models/knowledge graphs.
- Experience aligning to standards (e.g., CDISC, GA4GH, FHIR); collaboration/communication to bridge scientific, technical, and business needs.
Required/Preferred Skills
- Advanced Analytics; Data Analysis/Reporting/Visualization; Data Privacy Standards/Quality; Digital Fluency; Mentorship; Strategic/Tactical Planning; Critical Thinking; Technical Credibility; Consulting.
Benefits (time off)
- Vacation 120 hrs/yr; Sick time 40 hrs/yr (CO: 48; WA: 56); Holiday pay incl. Floating Holidays 13 days/yr; Work/Personal/Family Time up to 40 hrs/yr; Parental Leave 480 hrs (within one year); Bereavement Leave 240 hrs (immediate) / 40 hrs (extended); Caregiver Leave 80 hrs in 52-week rolling period; Volunteer Leave 32 hrs/yr; Military Spouse Time-Off 80 hrs/yr.
Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers high-value, user-centric, AI-ready data products enabling advanced analytics, data science, and AI/ML across preclinical, translational, clinical, competitive intelligence, and real-world data.
Key Responsibilities
- Own delivery of TA-facing data products; translate scientific/analytics use cases into functional and technical requirements.
- Execute a TA data product roadmap aligned to enterprise strategy; lead/support agile delivery and FAIR (Findable, Accessible, Interoperable, Reusable).
- Integrate and harmonize internal/external sources (clinical trials, omics, imaging, competitor intelligence, registries, RWE).
- Contribute to TA ontologies and semantic enrichment; align semantic models/metadata to enterprise standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Collaborate across TA Data Science, scientific stakeholders, architecture/governance, and IT/compliance/regulatory.
- Lead product owners/data engineers/TA domain experts; coach and mentor.
- Define/monitor product KPIs; communicate outcomes and drive adoption/reuse.
Qualifications
- PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- 6–10+ years in pharma/biotech R&D in data products/engineering/analytics platforms/data science; delivered domain-specific TA data products.
- Hands-on multi-modal data experience (omics, imaging, translational/clinical trial/RWD/RWE).
- Strong data product design, modeling, integration, transformation; knowledge of metadata/ontologies/semantic models/knowledge graphs.
- Experience aligning to standards (e.g., CDISC, GA4GH, FHIR); collaboration/communication to bridge scientific, technical, and business needs.
Required/Preferred Skills
- Advanced Analytics; Data Analysis/Reporting/Visualization; Data Privacy Standards/Quality; Digital Fluency; Mentorship; Strategic/Tactical Planning; Critical Thinking; Technical Credibility; Consulting.
Benefits (time off)
- Vacation 120 hrs/yr; Sick time 40 hrs/yr (CO: 48; WA: 56); Holiday pay incl. Floating Holidays 13 days/yr; Work/Personal/Family Time up to 40 hrs/yr; Parental Leave 480 hrs (within one year); Bereavement Leave 240 hrs (immediate) / 40 hrs (extended); Caregiver Leave 80 hrs in 52-week rolling period; Volunteer Leave 32 hrs/yr; Military Spouse Time-Off 80 hrs/yr.