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.

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.

medical
dental
vision
life insurance
short
and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
long-term incentive program
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

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

Key skills