Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
June 25, 2026
Remote friendly (Spring House, PA)
United States
IT
Role Summary
- Shape and deliver high-value, user-centric Therapeutic Area (TA) data products enabling advanced analytics, data science, and AI/ML across preclinical, translational, clinical, competitive intelligence, and RWD/RWE.
- Translate TA scientific/data needs into scalable, reusable, AI-ready data products; ensure products are fit-for-purpose, semantically consistent, interoperable, and aligned to enterprise standards.
Key Responsibilities
- Own TA-facing data product delivery; define functional/technical requirements from use cases.
- Execute a TA data product roadmap aligned to enterprise strategy.
- Lead/support agile delivery and FAIR data principles.
- Integrate/harmonize internal/external data (clinical trials, omics, imaging, competitor intelligence, registries, RWE).
- Develop/curate TA ontologies; align semantic models/metadata to enterprise standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus); enable AI-ready semantics.
- Partner cross-functionally with TA data science, scientific stakeholders, and governance/MDM/knowledge management; coordinate IT, compliance, and regulatory expectations.
- Lead product delivery teams; provide coaching/mentorship.
- Define/track KPIs; communicate outcomes/value and champion adoption.
Qualifications
- Education: PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- Experience: 6–10+ years in pharma/biotech R&D focused on data products/engineering/analytics platforms/data science; delivered TA-domain data products.
- Knowledge: multi-modal data (omics, imaging, translational/clinical trial and/or RWD/RWE); data modeling/integration/transformation; research, clinical development, regulatory data needs; metadata/ontologies/semantic models/knowledge graphs; standards alignment (CDISC, GA4GH, FHIR).
- Skills: collaboration, communication, influence; drive change in matrixed organizations.
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.
Benefits (time-off)
Vacation 120 hours/year; Sick time 40 hours/year (CO 48; WA 56); 13 holidays/year (Floating Holidays); up to 40 work/personal/family hours/year; Parental leave 480 hours/year; Bereavement leave (immediate 240; extended 40); Caregiver leave 80 hours/52 weeks; Volunteer leave 32 hours/year; Military spouse time-off 80 hours/year.
- Shape and deliver high-value, user-centric Therapeutic Area (TA) data products enabling advanced analytics, data science, and AI/ML across preclinical, translational, clinical, competitive intelligence, and RWD/RWE.
- Translate TA scientific/data needs into scalable, reusable, AI-ready data products; ensure products are fit-for-purpose, semantically consistent, interoperable, and aligned to enterprise standards.
Key Responsibilities
- Own TA-facing data product delivery; define functional/technical requirements from use cases.
- Execute a TA data product roadmap aligned to enterprise strategy.
- Lead/support agile delivery and FAIR data principles.
- Integrate/harmonize internal/external data (clinical trials, omics, imaging, competitor intelligence, registries, RWE).
- Develop/curate TA ontologies; align semantic models/metadata to enterprise standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus); enable AI-ready semantics.
- Partner cross-functionally with TA data science, scientific stakeholders, and governance/MDM/knowledge management; coordinate IT, compliance, and regulatory expectations.
- Lead product delivery teams; provide coaching/mentorship.
- Define/track KPIs; communicate outcomes/value and champion adoption.
Qualifications
- Education: PhD or Master’s in Informatics, Computer Science, Data Science, Life Sciences, or related.
- Experience: 6–10+ years in pharma/biotech R&D focused on data products/engineering/analytics platforms/data science; delivered TA-domain data products.
- Knowledge: multi-modal data (omics, imaging, translational/clinical trial and/or RWD/RWE); data modeling/integration/transformation; research, clinical development, regulatory data needs; metadata/ontologies/semantic models/knowledge graphs; standards alignment (CDISC, GA4GH, FHIR).
- Skills: collaboration, communication, influence; drive change in matrixed organizations.
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.
Benefits (time-off)
Vacation 120 hours/year; Sick time 40 hours/year (CO 48; WA 56); 13 holidays/year (Floating Holidays); up to 40 work/personal/family hours/year; Parental leave 480 hours/year; Bereavement leave (immediate 240; extended 40); Caregiver leave 80 hours/52 weeks; Volunteer leave 32 hours/year; Military spouse time-off 80 hours/year.