Senior Manager Data Products – Therapeutic Area (TA)
Johnson & Johnson
June 25, 2026
Remote friendly (Cambridge, MA)
United States
IT
Role Summary
Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers user-centric, high-value data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products; translate use cases into functional/technical requirements.
- Execute a TA data product roadmap aligned to enterprise strategy across discovery, translational research, clinical development, and real-world evidence.
- Lead/support agile delivery aligned to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Integrate/harmonize internal & external data (clinical trial data, omics, imaging, competitor intelligence, registries, RWD/RWE).
- Contribute to TA ontology/metadata/semantic enablement; align semantic models to standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Collaborate with Data Science, clinical/translational stakeholders, architecture/governance, knowledge/master data teams, and IT/compliance/regulatory partners.
- Lead product owners/data engineers/TA domain experts; support governance/agile practices; coach/mentor.
- Define/monitor KPIs; communicate progress/value and champion 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 focused on data products/engineering/analytics platforms/data science.
- Experience delivering domain-specific TA data products; working with multi-modal data (omics, imaging, translational/clinical trial, RWD/RWE).
- Strong data product design, modeling, integration, transformation; knowledge of metadata/ontologies/semantic models/knowledge graphs; familiarity with research/clinical/regulatory data needs.
Required/Preferred Skills (as listed)
Advanced Analytics; Critical Thinking; Data Analysis; Data Quality; Data Reporting; Data Science; Data Visualization; Mentorship; Strategic/Tactical Planning; Technical Credibility.
Benefits (time off, if eligible)
Vacation 120 hrs/yr; Sick time 40 hrs/yr (CO: 48; WA: 56); Holiday pay 13 days/yr; Work/Personal/Family up to 40 hrs/yr; Parental leave 480 hrs; Bereavement 240 hrs (immediate)/40 hrs extended; Caregiver leave 80 hrs (52-week rolling); Volunteer 32 hrs/yr; Military spouse time-off 80 hrs/yr.
Senior Manager Data Products – Therapeutic Area (TA) shapes and delivers user-centric, high-value data products enabling advanced analytics, data science, and AI/ML across the TA.
Key Responsibilities
- Own delivery of TA-facing data products; translate use cases into functional/technical requirements.
- Execute a TA data product roadmap aligned to enterprise strategy across discovery, translational research, clinical development, and real-world evidence.
- Lead/support agile delivery aligned to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Integrate/harmonize internal & external data (clinical trial data, omics, imaging, competitor intelligence, registries, RWD/RWE).
- Contribute to TA ontology/metadata/semantic enablement; align semantic models to standards (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Collaborate with Data Science, clinical/translational stakeholders, architecture/governance, knowledge/master data teams, and IT/compliance/regulatory partners.
- Lead product owners/data engineers/TA domain experts; support governance/agile practices; coach/mentor.
- Define/monitor KPIs; communicate progress/value and champion 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 focused on data products/engineering/analytics platforms/data science.
- Experience delivering domain-specific TA data products; working with multi-modal data (omics, imaging, translational/clinical trial, RWD/RWE).
- Strong data product design, modeling, integration, transformation; knowledge of metadata/ontologies/semantic models/knowledge graphs; familiarity with research/clinical/regulatory data needs.
Required/Preferred Skills (as listed)
Advanced Analytics; Critical Thinking; Data Analysis; Data Quality; Data Reporting; Data Science; Data Visualization; Mentorship; Strategic/Tactical Planning; Technical Credibility.
Benefits (time off, if eligible)
Vacation 120 hrs/yr; Sick time 40 hrs/yr (CO: 48; WA: 56); Holiday pay 13 days/yr; Work/Personal/Family up to 40 hrs/yr; Parental leave 480 hrs; Bereavement 240 hrs (immediate)/40 hrs extended; Caregiver leave 80 hrs (52-week rolling); Volunteer 32 hrs/yr; Military spouse time-off 80 hrs/yr.