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

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +5

Associate Director to lead enterprise-aligned AI governance for Data Science & Digital Health in R&D, focusing on implementing high-quality, compliant, and scalable governance practices for AI/ML and GenAI systems, ensuring safe and responsible development and deployment. This role involves partnering with Quality, Legal, Regulatory Affairs, and IT to streamline processes, embed AI safety, and align with strategic priorities.

What you'd actually do

  1. Develop and maintain an AI governance roadmap that supports R&D strategy, enabling informed decision making and proactive management of AI related risks.
  2. 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.
  3. 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.
  4. Create and disseminate playbooks, toolkits, and standardized guidance to support teams in implementing responsible AI practices.
  5. Establish and track metrics to evaluate governance effectiveness, including processes for audits, reviews, and risk based assessments of AI systems.

Skills

Required

  • Advanced degree (PhD or Master’s) in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, or a related field
  • Additional training or certification in AI ethics, governance, or regulatory compliance
  • 10+ years of experience in AI/ML, data science, or digital health
  • Experience in AI governance in regulated environment
  • Proven track record of leading AI governance initiatives and processes for AI development, model lifecycle management and deployment
  • 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
  • Excellent communication skills
  • Strategic thinking capabilities
  • Ability to drive cultural change around responsible AI use and digital transformation

What the JD emphasized

  • AI governance in regulated environment
  • AI development
  • model lifecycle management and deployment
  • global regulatory frameworks in medical products and AI
  • AI risk assessment and mitigation

Other signals

  • AI governance
  • AI quality assurance
  • AI safety protocols
  • regulatory standards
  • risk management