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The Director, AI Governance Technologies is the organizational builder of platforms, tools, and infrastructure that power Mayo's enterprise AI governance program. Supporting the AI Governance and AI Performance Evaluation functions, this role builds and owns the applications and infrastructure that make governance possible at scale, including: an enterprise AI inventory, governance review tooling, reporting infrastructure, pipelines, and tooling, reporting dashboards, detection tooling, and integrations with other Mayo enterprise systems as needed. 
The Director also defines technical requirements (format, transport) for product owners to embed governance checkpoints - such as bias assessments, performance and safety thresholds, and documentation requirements - into product development to support electronic post-deployment reporting to AIA. Finally, this role also defines AI monitoring requirements that will be executed and enforced by product and enterprise IT partners accountable for day-to-day operations and life cycle management, and ensures alignment between IT operational home MLOPS functions and AIA governance MLOPS functions.
Additionally, the Director leads the selection, implementation, and ongoing management of the technology stack that underpins enterprise AI governance. The Director will work closely with product owners, enterprise IT, data engineering, clinical informatics, cybersecurity, and vendor teams as applicable. Reporting to the Senior Director, AIA, the Director of AI Technology bridges the worlds of data engineering, MLOps, and policy compliance, ensuring that governance is not a manual, after-the-fact exercise but an automated, embedded capability woven into how AI is built, deployed, and sustained across the organization.
 

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.
• CrossFunctional 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 executivelevel 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
• CrossFunctional 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.

Position 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.

Position 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.