Associate Director, Research & Development Data 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 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:

R&D Product Development

Job Sub Function:

R&D Digital

Job Category:

People Leader

All Job Posting Locations:

Cincinnati, Ohio, United States of America, Raritan, New Jersey, United States of America

Job Description:

Johnson & Johnson MedTech is seeking an Associate Director, Research & Development Data Governance.

Who are we?

At Johnson & Johnson MedTech, 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

The MedTech Regulatory Affairs and R&D Data Office (RADO), is responsible for establishing the data governance process and applying consistent data governance standards across Regulatory Affairs and R&D, as part of a unified MedTech data strategy under the MedTech Data Office (MTDO). The aim is to ensure consistent data governance and standards across functions and enable trusted, well governed data to sustain our competitive edge.

Purpose of the role

• As Associate Director, Research & Development Data Governance, you will be responsible for leading the strategy, development, and execution of R&D data governance initiatives across MedTech. This role ensures the integrity, consistency, and usability of data within R&D systems. The position collaborates with cross functional stakeholders, including Business Unit and Regional R&D teams, PLM teams, Data Analytics, and Quality teams, to establish standardized data definitions, processes, and controls that support regulatory compliance, operational efficiency, and data driven decision making across the enterprise

What to expect:

R&D Data Governance Strategy & Leadership

• Lead the end-to-end development, implementation, and maintenance of the R&D Data Dictionary, including data elements ownership, critical data attributes definition, and alignment across global stakeholders.

• Drive alignment among Data Stewards and functional partners to standardize R&D data constructs and reduce interpretational variability.

• Chair and manage Data Governance forums, workshops, and cross functional working sessions to support decision‑functional working sessions to support decision making‑making and process alignment.

Data Quality Management

• Oversee the remediation, alignment, and rationalization of R&D Data, including mandatory and optional data elements.

• Lead data cleansing initiatives.

• Develop and deploy dashboards (e.g., Power BI) to monitor remediation volume, data accuracy, and quality improvements.

Data Contracts & Cross Functional‑Functional Data Usage Governance

• Provide expert guidance on the creation, review, and standardization of data contracts for MedTech teams.

• Support triage and evaluation of data usage requests to ensure appropriate R&D data governance and compliance.

• Develop standard templates and frameworks to enable consistent cross functional‑functional usage of MT R&D data.

Continuous Improvement,