Associate Director, AI Quality And Governance – R&D Data Science & Digital Health

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 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: Multi-Family Data Analytics & Computational Sciences Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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 & Johnson Innovative Medicine (IM) is recruiting for an Associate Director of AI Quality and Governance - R&D Data Science & Digital Health. This position can be located in Titusville, NJ; New Brunswick, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA. This position will require up to 15% travel. 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 About the Role We are seeking an experienced leader to drive enterprise aligned AI governance across Data Science & Digital Health (DSDH) and the broader R&D organization. This role focuses on implementing high quality, compliant, and scalable governance practices for both traditional AI/ML and GenAI systems, ensuring safe, responsible, and consistent development and deployment. The leader will partner closely with DSDH teams, Quality, Legal, Global Regulatory Affairs, and Johnson & Johnson Technology (JJT) to streamline governance processes, embed AI safety protocols, and align with enterprise strategic priorities. The position plays a critical role in advancing good AI practices across R&D and strengthening cross functional collaboration. Responsibilities Develop and maintain an AI governance roadmap that supports R&D strategy, enabling informed decision making and proactive management of AI related risks. Develop, implement, and drive adoption of quality assurance processes for AI/ML and GenAI development, integrate those processes with existing medical product and digital health tool development processes, and ensure adherence to internal and external regulatory standards. Drive alignment on AI quality/governance initiatives across R&D and enterprise, partnering with JJT to streamline governance workflows and promote consistent adoption across R&D. Create and disseminate playbooks, toolkits, and standardized guidance to support teams in implementing responsible AI practices. Establish and track metrics to evaluate governance effectiveness, including processes for audits, reviews, and risk based assessments of AI systems. Serve as a technical and strategic advisor on AI governance topics Collaborate with therapeutic areas, functional partners, and senior stakeholders to drive cross functional collaboration and alignment. Represent Johnson & Johnson in external AI governance forums and consortia, contributing to industry wide standards and best practices. Qualifications Advanced degree (PhD or Master’s) in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, or a related field, with additional training or certification in AI ethics, governance, or regulatory compliance. 10+ years of experience in AI/ML, data science, or digital health, preferably in a regulated industry (e.g., pharma, healthcare, biotech). Experience in AI governance in regulated environment, with proven track record of leading AI governance initiatives and processes for AI development, model lifecycle management and deployment, etc. Knowledge of global regulatory frameworks in medical products and AI (e.g. FDA, EMA, ICH, EU AI Act, ISO/IEC standards, etc.) Deep understanding of AI/ML & GenAI model development, deployment, and monitoring, including AI risk assessment and mitigation Experience working with cross-functional teams including regulatory affairs, IT, and data science, product development. Strong experience in a matrixed organization, with excellent communication skills and strategic thinking capabilities. Ability to drive cultural change around responsible AI use and digital transformation. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource. #LI-GR1 #JRDDS #JNJDataScience #JRD #LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Performance Measurement, Process Optimization, Relationship Building, Stakeholder Engagement, Statistical Computing, Strategic Thinking The anticipated base pay range for this position is : $137,000 - $235,750 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 Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s 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.