Senior Manager Data Products – Therapeutic Area (TA)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Role Summary

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.

Key Responsibilities

Data Product Delivery & Roadmap Execution

• 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.

Ontology, Metadata & Semantic Enablement

• 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.

Cross‑Functional Collaboration

• 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.