Job DescriptionThe Director, AI Governance Operations will be the organizational conscience and operational backbone for accelerating deployment of AI applications to transform clinical care and improve patient outcomes. The leader will oversee review, approval, and oversight of artificial intelligence applications deployed in the Mayo Clinic Practice. Reporting to the Senior Director, AIA, this leader will establish the frameworks, policies, and processes that ensure our clinical AI systems are focused on improving patient outcomes while at the same time maintaining Mayo's high standards for AI that is safe, equitable, explainable, and compliant with applicable federal and state regulations.
Managing a team of AI/ML and regulatory affairs experts, the Director, AI Governance is responsible for maintaining a transparent, low-friction, high-velocity process for innovators and product proponents to successfully meet Mayo requirements and expectations for high-value and transformative clinical AI applications. This will involve maintaining and continuously refining AIA's comprehensive governance program for enterprise clinical AI applications - covering product performance, safety, privacy, and security from enterprise implementation through the post-deployment life cycle. It will also involve ongoing adaptation to evolving Mayo models of care and patient experience, as well as regulatory and industry trends. The Director must be vigorously customer-focused, data-driven, and willing to say "no" or "not yet" when proposed AI solutions do not meet Mayo expectations for enterprise scaling.
The Director partners with other AIA components to ensure that governance policies and processes leverage automation and AI technologies to the maximum extent possible. The Director will be the enterprise nexus for advancing Mayo's leadership in clinical implementation by partnering closely with Practice leaders across departments and sites, as well as other enterprise governance leaders and bodies.
Key Responsibilities
- AI Strategy & Program Leadership: Lead development and execution of enterprise AI strategy and multi-year roadmaps aligned with organizational goals.
- Portfolio Oversight: Oversee intake, prioritization, and sequencing of AI initiatives; balance value, feasibility, risk, and capacity across portfolios.
- Cross-Functional Leadership: Partner with clinical, operational, technical, legal, compliance, and data leaders to advance AI initiatives from concept through deployment.
- Governance & Responsible AI: Ensure AI initiatives adhere to governance frameworks, ethical standards, regulatory requirements, and risk management practices.
- Operational Enablement: Establish operating rhythms, performance metrics, and reporting mechanisms to track progress, outcomes, and value realization.
- Stakeholder Engagement: Serve as a trusted advisor to senior leaders; communicate AI strategy, progress, and impact through executive-level updates and presentations.
- People & Team Leadership: Lead, develop, and support managers and senior professionals; foster a culture of accountability, collaboration, and continuous improvement.
- Financial & Resource Stewardship: Support budget planning, resource allocation, and business case development for AI initiatives.
Core Competencies
- Enterprise AI & Digital Strategy
- Executive Presence & Influence
- Change Leadership & Resilience
- Ethical & Responsible AI Stewardship
- Cross-Functional Collaboration
- Program & Portfolio Management
This is a hybrid position and incumbent must live within 100 miles of a Mayo Clinic campus. Fulltime remote may be considered.
Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.
QualificationsPosition Qualifications- Bachelor's degree and 10 years of progressive experience in healthcare, technology, operations, analytics, or related fields with demonstrated leadership responsibility required.
- Master's degree and 10 years of progressive experience in healthcare, technology, operations, analytics, or related fields with demonstrated leadership responsibility preferred.
- Demonstrated experience leading high performing teams and delivering complex enterprise initiatives in a matrixed organizations preferred.
