Director- R&D Data Management and Governance

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:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

People Leader

All Job Posting Locations:

West Chester, Pennsylvania, United States of America

Job Description:

MedTech, a division of the Johnson & Johnson Family of Companies, is recruiting for a Director – R&D Data management and governance role within the MedTech Data and AI  group passionate about building the next-gen data and platform capabilities enabling MedTech Commercial ,R&D, and Supply Chain functions.  This position is based in West Chester, PA.  

At Johnson & Johnson MedTech Companies, we are using our breadth, scale, and experience to reimagine the way healthcare is delivered and to help people live longer, healthier lives.

In a radically changing environment, we are making connections across science and technology to combine our own expertise in surgery, orthopedics, and interventional solutions with innovative ideas to design and deliver HCP and patient-centric products and solutions.

You will drive forward technology product ownership and capability pull-through for our Data & AI platforms and products for MedTech aligned with the organization's objectives. You will advance data platforms, product & capability roadmap development of multiple new technologies. Additionally, you will partner with the MedTech Domain Leads, Solution Leads, Architects, and domain professionals across functions on data capabilities to enable their design, build, and ongoing sustainment. We are a customer and product-centric team, where everything we do starts and ends with the customer.

The MedTech Data & AI Team emphasizes improving individual strengths not only to accelerate the solutions but also to shape the future of our solutions and propel their career growth forward. We are committed to encouraging a supportive environment and will provide many opportunities for learning new skills.

Key Responsibilities

• Develop and implement a unified data strategy that spans the full R&D lifecycle, integrating Product Development, Pre-Clinical, Clinical, Simulation, Regulatory, and Real-World Data domains.
• Design and implement tailored data governance frameworks and policies that ensure data quality, compliance, and visibility throughout R&D operations.
• Establish and lead data stewardship programs, promoting accountability and standard processes for data management across all R&D functions.
• Supervise the integration and harmonization of data standards, taxonomies, and nomenclature in collaboration with business and technology partners.
• Champion the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles and drive continuous improvement in data accessibility and reusability. Advance API-first, digital, and automation solutions to enable secure, real-time data access and interoperability among R&D platforms and applications.
• Lead the transformation of the R&D data landscape by identifying and implementing innovative digital solutions, including AI, ML, and advanced analytics.
• Serve as the main point of contact for R&D data governance councils, quality management, and compliance with global regulatory requirements (e.g., UDI, EUDAMED, UKCA, FDA/GUDID).
• Oversee the development and maintenance of a central data catalog, data lake, and other digital assets to support visibility, decision-making, and regulatory submissions.
• Drive multi-functional collaboration with IT, scientific, regulatory, and business teams to align data initiatives with organizational objectives and industry standard methodologies.
• Define end-end data and platform architecture for enabling connected eco-system across MedTech.
• Enhance return on investment by identifying and prioritizing the product features by business value (building the right thing).