Senior data product manager (AI)

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 https://www.jnj.com

Job Function:

Digital Marketing

Job Sub Function:

Digital Product Management

Job Category:

Professional

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Job Description

Johnson & Johnson is recruiting a Senior Data Product Manager as part of our Data Strategy and Operations team. 

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.  

As part of our growing IMSC Data Strategy and operations team, you will be responsible for defining, building, and managing data products, acting as a bridge between data teams and other stakeholders. These Data Products are in line with our overall IMSC Data strategy aimed at simplifying the existing data landscape, building foundational data capabilities, and driving value for business. You will ensure that these programs follow product management standards, fully governed and result in success in driving business value through data capabilities that support analytics, decision-making, and operational efficiency.  

You will collaborate closely with business stakeholders, data engineers, business process owners, and digital product teams to ensure the programs are designed with business value at their core, are accurately documented, and meet the highest standards. You will also work with executive leaders to shape and transform the overall journey. 

Key Responsibilities: 

• Lead programs advancing data modernization (Data Marketplace, unified Product Master and AI readiness across the IMSC). 

• Own innovation product roadmaps for data platform and enablement initiatives. 

• Partner with other IMSC workstream leads  & J&J IT to deliver scalable, innovation-ready data solutions. 

• Drive adoption and change management to accelerate use of modern platforms. 

• Champion new initiatives to transform IMSC data ecosystem, identifying opportunities to eliminate redundancy and optimize operations. 

• Advance the strategic vision and adoption for Data ecosystem innovations in alignment with IMSC objectives. 

• Establish governance standards and executive reporting, ensuring transparency, accountability, and consistent delivery across initiatives. 

• Partner cross-functionally with IT, Data Governance, and Business stakeholders to ensure seamless integration, communication, and delivery of program outcomes. 

 Qualifications - External 

Education: 

• A bachelor’s or higher degree is required 

• Focused degree in Supply Chain, Data Analytics, or related field is preferred 

Experience and Skills: 

Required: 

• Minimum 6–7 years of progressive experience in program or project management, with demonstrated success in leading large-scale data and technology transformation initiatives. 

• Strong product ownership and roadmap management capabilities, including backlog management, user story mapping, and release governance, ensuring alignment between business outcomes and technical delivery. 

• Proven expertise in Agile, Scrum, and scaled agile delivery models, with the ability to foster collaboration and accountability across cross functional teams. 

• Demonstrated depth in data management principles, including data governance, data quality, and metadata management, along with deep familiarity with master and reference data practices. 

• Experience integrating data products across multiple supply chain systems and platforms, ensuring consistent data quality and interoperability. 

• Strong understanding of end-to-end supply chain processes, operational depen