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Johnson & Johnson

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

Johnson & Johnson

Associate Director of AI Quality and Governance at Johnson & Johnson, focusing on AI governance within Data Science & Digital Health. Seeking an experienced leader for developing compliant AI practices.

Posted 7/1/2026full-timeTitusville • Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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 developments

Benefits

Comp & perks
  • medical, dental, vision, life insurance
  • short- and long-term disability
  • business accident insurance
  • group legal insurance
  • consolidated retirement plan (pension)
  • savings plan (401(k))
  • 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

ATS Keywords

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Hard Skills & Tools
AI Governance Roadmap DevelopmentQuality Assurance for AI/MLAI Risk AssessmentModel Lifecycle ManagementMetrics Tracking for GovernanceAI EthicsData ScienceDigital HealthAI/ML DeploymentGenAI Development
Soft Skills
Strategic AdvisingCollaborationStakeholder EngagementCommunication
Certifications
AI Ethics CertificationRegulatory Compliance Training