
Associate Director, AI Quality and Governance – R&D Data Science, Digital Health
Johnson & Johnson
full-time
Posted on:
Location Type: Hybrid
Location: Titusville • Massachusetts • New Jersey • United States
Visit company websiteExplore more
Salary
💰 $137,000 - $235,750 per year
Job Level
About the role
- 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
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- retirement plan (pension)
- savings plan (401(k))
- paid time off including Vacation, Sick time, Holiday pay, Work, Personal and Family Time, Parental Leave, Condolence Leave, Caregiver Leave, Volunteer Leave, Military Spouse Time-Off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI governancequality assurance processesAI/ML developmentGenAI developmentmodel lifecycle managementAI risk assessmentdata sciencedigital healthregulatory compliancemetrics evaluation
Soft Skills
strategic thinkingcommunication skillscross-functional collaborationleadershipcultural change management
Certifications
AI ethics certificationgovernance certification