Senior Manager, Data Science

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 Med Tech, 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

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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:

People Leader

All Job Posting Locations:

Raritan, New Jersey, United States of America, Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Manager, Data Science

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

Purpose:

This role is accountable for shaping and delivering the product strategy, roadmap, and execution governance for SSOT, J&J PHENIX and associated commercial data science and analytics platforms. The role partnerships across Commercial, GCSO, RWE Global Council, Data Science, Technology, and platform teams to convert business priorities into scalable analytics capabilities, measurable portfolio outcomes, and trusted decision-support products.

You will be responsible for:

Product Strategy & Roadmap Ownership

* Define and own the product vision, long-term strategy, and measurable business outcomes for SSOT and associated analytics platforms.

* Translate brand, and commercial priorities into a prioritized product roadmap, backlog, release plan, and adoption roadmap.

* Partner with GCSO across TAs, Data Science, Technology, and platform leadership to ensure roadmap alignment with business performance objectives and enterprise architecture direction.

* Maintain a transparent roadmap governance model that balances new capabilities, technical debt, compliance needs, user adoption, and operational excellence.

Business & Stakeholder Alignment

* Serve as the interface between business owners including Global Commercial Insights leads across TA, PICs & PM Teams, DSI, RWE Global Council, and technology delivery teams, engineering & platform operations to strengthen the global launch excellence capabilities.

* Gather, rationalize, and translate business requirements into actionable product features, analytics use cases, acceptance criteria, and adoption plans.

* Facilitate regular stakeholder engagement, roadmap reviews, prioritization forums, and executive readouts to ensure alignment, transparency, and timely decision-making.

Delivery of Data Science & Analytics Solutions

* Ensure platforms deliver timely, scalable, governed, and reproducible insights that support commercial decision-making and portfolio performance management.

* Oversee implementation of data pipelines, automation, feature engineering, analytics frameworks, dashboards, and reusable data products.

* Partnership with Data Science Chapter leads to drive adoption of AI/ML-enabled insights, AI-enabled conversational analytics, and advanced analytics capabilities that improve decision quality and business agility.

* Enable J&J Agentic Framework adoption for this portfolio by identifying agentic use cases, defining guardrails, aligning workflows to enterprise AI standards, and supporting responsible deployment of autonomous and assisted analytics capabilities.

Platform & Data Ecosystem Management

* Govern the end-to-end analytics platform ecosystem,…