Vice President, Commercial Data & AI

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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:

Titusville New Jersey United States of America

Job Description:

We are searching for the best talent for Vice President Commercial Data & AI

Johnson & Johnson Innovative Medicine Technology is recruiting for the Vice President Commercial Data & AI. The primary location for this position is Titusville NJ with consideration given to Raritan NJ and Horsham PA. This role may require up to 10% domestic and international travel.

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 & Johnson Innovative Medicine Technology is seeking an exceptional Data and AI executive to lead the Commercial Data and AI portfolio in partnership with the Innovative Medicine North America (NA) Commercial Business and the Global Commercial Strategy Organization (GCSO). Reporting to the VP Head of Technology for IM NA Commercial & GCSO the Vice President Commercial Data and AI will set and execute the strategy for a prioritized portfolio of data data science and AI programs that power the commercial value chain spanning launch excellence sales and marketing medical affairs market access patient engagement and commercial operations.

This leadership role is accountable for translating the most pressing commercial business challenges into a high-impact outcome-driven portfolio and for building and scaling enterprise-grade AI capabilities including generative and agentic AI required to deliver measurable value at scale. You will be the executive sponsor for a prioritized portfolio of commercial data digital and AI programs directing a team of 80 technology data and AI professionals and stewarding significant annual investment across the buy/borrow/build continuum to deliver with speed and scale. Success in this role requires the rare combination of deep technical fluency commercial pharmaceutical acumen executive influence servant leadership and a disciplined focus on responsible compliant delivery over hype.

Strategy Portfolio and Value Realization

• Partner with senior business leaders across commercial medical patient and technology teams to identify high-impact data & AI opportunities and translate them into clear problem statements solution-oriented business cases and multi-year roadmaps.

• Shape multi-year data and AI strategies and aligned organizational operating models that blend innovation prioritization delivery governance and value realization across an enterprise portfolio of data and AI products and capabilities.

• Manage investment decisions across the product lifecycle reallocating resources to the highest-value work and retiring redundant or underperforming efforts; review value delivery in dollars and outcomes with business peers on a quarterly cadence.

AI Data Science and Platform Leadership

• Advance high value use cases ranging from predictive to agentic AI establishing scalable delivery patterns for GenAI and agentic systems (retrieval-augmented generation evaluation and testing prompt/workflow engineering and LLMOps/MLOps for monitoring drift reliability and incident response).

• Lead delivery and advancement of the commercial AI Core as a neutral reusable control plane including agent registry orchestration guardrails and observability connecting a diverse range of cloud data science models and business systems rather than being trapped in any single application.

• Advance data as a strategic asset by maturing our core data platforms semantic and AI-context layers master data management and AI-ready data products that enable insight sharing and cross-region scale.

Responsible AI Governance and Compliance

• Champion responsible AI by embedding governance security privacy and compliance-by-design into AI patterns and workflowshuman-in-the-loop practices documentation model monitoring explainability and auditability appropriate for a regulated environment.

• Partner with Healthcare Compliance Legal Privacy Quality and Security to review and prioritize AI use cases to shape the Generative AI review process.

People Leadership and Change Enablement

• Build lead and develop a high-performing AI-first organization of leaders and practitioners including data scientists AI software and data engineers and product and solution leads through hiring coaching performance management and talent development that drives retention and career growth.

• Drive adoption and change enablement in partnership with business teams through communications training and ways-of-working so that AI solutions are trusted used and measurably improve outcomes; foster a Credo-based culture and elevate AI fluency across the organization.

• Forge strong collaborations across Innovative Medicine Technology to share reusable assets scale successful solutions and stay current on emerging techniques tools and industry trends to inform strategy and investment.

Required

• Education: Bachelors degree required; advanced degree strongly preferred in Computer Science Data Science Artificial Intelligence/Machine Learning Statistics Mathematics Engineering or a related quantitative discipline.

• Experience: 15 years of progressive experience delivering data analytics and AI solutions at scale including translating business problems into scaled products with measurable business impact; life sciences/healthcare experience strongly preferred.

• Executive people leadership: 10 years leading and scaling high-performing multidisciplinary technical organizations (typically 50 professionals direct and extended/vendor) including building leaders of leaders and managing significant operating and capital investment.

• AI/ML technical fluency: Deep understanding of modern machine learning and large language models with the ability to set architecture and delivery direction across data modeling software engineering and cloud platforms (e.g. AWS Azure GCP Databricks Snowflake).

• Generative and agentic AI: Demonstrated success taking GenAI and agentic solutions to productionevaluation/testing guardrails RAG prompt/workflow engineering and LLMOps/MLOps (monitoring drift reliability incident response).

• Portfolio and value leadership: Proven ability to prioritize a portfolio manage investment across the product lifecycle and drive adoption and value realization through clear OKRs/KPIs and executive stakeholder alignment.

• Responsible AI and compliance: Strong command of data standards privacy regulations and governance expectations in regulated environments with the ability to embed controls by design in partnership with Security Privacy Legal and Compliance.

• Communication and influence: Exceptional written and verbal communication with the ability to explain complex technical concepts to diverse audiences and influence decisions from the executive committee to delivery teams.

Preferred

• Commercial pharmaceutical domain expertise across sales & marketing omnichannel/customer engagement medical affairs market access and/or commercial operations including experience with commercially relevant data sets.

• Experience leading enterprise data platforms master data management and AI-ready data products and standing up reusable AI platforms and agentic ecosystems.

• Track record partnering with and managing external vendors and strategic technology partners (e.g. systems integrators hyperscalers and consulting firms) across a buy/borrow/build model.

• Recognized thought leadership in data science and AI through internal and external speaking publications or advisory roles.

This position follows a hybrid schedule of 3 days per week on-site and 2 days remote (no fully remote option). The primary location is Titusville NJ with consideration given to Raritan NJ and Horsham PA. This role may require up to approximately 10% domestic and international travel.

Required Skills:

Preferred Skills:

Advanced Analytics Data Analysis Data Privacy Standards Data Quality Data Science Data Stewardship Data Visualization Developing Others Digital Fluency Fact-Based Decision Making Inclusive Leadership Leadership Managing Managers New Program Development Policy Development Strategic Thinking Visualizations

The anticipated base pay range for this position is :

The anticipated base pay range for this position is $218000 and $401350 USD.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys long-term incentive program. Subject to the terms of their respective policies and date of hire Employees are eligible for the following time off benefits: Vacation 120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year 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 Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. Experience:

Exec