Titusville, New Jersey, United States of America, United States of America
Hybrid
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 SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll 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 AmericaJob 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.
Team Leadership & Operating Model Support
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.
Value Realization & Stakeholder Communication
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.
Strategic Impact
The Senior Manager Data Products – TA plays a critical execution and shaping role in transforming TA data assets into trusted, reusable, AI‑ready data products.
By embedding semantic rigor, enterprise alignment, and strong partnership with Data Science and scientific teams, this role directly accelerates discovery, improves trial design and execution, and strengthens evidence generation and regulatory readiness positioning TA data as a strategic enabler of patient impact and scientific innovation.
Qualifications
Education
PhD or Master’s degree in Informatics, Computer Science, Data Science, Life Sciences, or a related discipline.
Experience & Skills
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.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
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Required Skills:
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
The anticipated base pay range for this position is :
$137,000.00 - $235,750.00Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).Want to know if this job is worth applying to?