Senior Manager Data Products – Therapeutic Area (TA)

Johnson & Johnson Innovative Medicine•San Diego, CA

1d•$137,000 - $235,750•Hybrid

About The Position

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. This role focuses on translating TA scientific and data science needs into scalable, reusable, and AI‑ready data products, spanning preclinical, translational, clinical, competitive intelligence, and real‑world data (RWD/RWE). Working in close partnership with TA Data Science teams, scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that data products are fit‑for‑purpose, semantically consistent, interoperable, and aligned with enterprise standards, accelerating discovery, evidence generation, and regulatory readiness.

Requirements

PhD or Master’s degree in Informatics, Computer Science, Data Science, Life Sciences, or a related discipline.
6–10+ years of experience in pharma/biotech R&D with a focus on data products, data engineering, analytics platforms, or data science.
Demonstrated experience delivering domain‑specific data products within a Therapeutic Area or scientific domain.
Hands‑on experience with multi‑modal data, including omics, imaging, translational, clinical trial data, and/or RWD/RWE.
Strong understanding of data product design, data modeling, data integration, and data transformation.
Familiarity with research, clinical development, and regulatory data requirements.
Working knowledge of metadata management, ontologies, semantic models, and knowledge graphs.
Experience aligning with industry and enterprise data standards (e.g., CDISC, GA4GH, FHIR).
Strong collaboration, communication, and influence skills, with the ability to bridge scientific, technical, and business perspectives.
Proven ability to drive adoption and change in a complex, matrixed organization.

Nice To Haves

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

Responsibilities

Own the delivery of TA‑facing data products, translating scientific and analytics use cases into clear functional and technical requirements.
Contribute to and execute a TA data product roadmap aligned with enterprise data strategy, spanning discovery, translational research, clinical development, and real‑world evidence.
Lead or support agile product delivery, ensuring adherence to FAIR data principles (Findable, Accessible, Interoperable, Reusable).
Drive integration and harmonization of internal and external data sources, including clinical trial data, omics, imaging, competitor intelligence, registries, and RWE datasets.
Contribute to the development, curation, and application of TA ontologies to ensure semantic consistency across discovery, clinical, regulatory, and real‑world data.
Align TA semantic models and metadata with enterprise standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
Partner with ontology, metadata, and governance teams to ensure data products are AI‑ready and semantically enriched.
Partner closely with TA Data Science, clinical, translational, and scientific stakeholders to co‑design data products that maximize scientific and analytics value.
Collaborate with Data Product Architecture & Governance, Knowledge Management, and Master Data Management teams to ensure seamless integration into enterprise knowledge graphs, catalogs, and platforms.
Interface with IT, compliance, and regulatory partners to ensure data products meet quality, privacy, and global regulatory expectations.
Provide day‑to‑day leadership and technical direction to product owners, data engineers, and TA data domain experts.
Support the implementation of governance models, agile practices, and delivery standards for TA data products.
Act as a coach and mentor, strengthening product, semantic, and data literacy capabilities within the team.
Define and monitor product‑level KPIs to assess impact on scientific insights, analytics velocity, trial efficiency, and regulatory outcomes.
Communicate progress, outcomes, and value realization to TA leadership, Data Science teams, and broader stakeholders.
Actively champion adoption, reuse, and data literacy within the TA community.

Benefits

Consolidated retirement plan (pension)
Savings plan (401(k))
Long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year (or 48/56 hours depending on state)
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year