AI Risk Governance Director

MUFG•Tampa, FL
•$225,000 - $275,000•Hybrid

About The Position

The Director, AI Risk Governance provides overall leadership, strategy, execution, and continuous maturation of MUFG’s AI Risk Governance Program. As the enterprise owner of the program, the Director establishes a consistent, scalable, and risk-based approach to governing AI solutions and oversees capabilities for identifying, assessing, monitoring, reporting, and escalating AI-related risks throughout the AI lifecycle. The position leads governance processes, forums, inventory oversight, monitoring, reporting, policy and methodology development, stakeholder engagement, and program management. Business Owners and established risk-management functions retain responsibility for their respective risks, controls, decisions, and operational execution. The Director is the senior AI Risk Governance representative and works extensively with business, technology, risk management, compliance, legal, information security, model risk, third-party risk management, audit, operational risk, enterprise risk, and other governance functions. The position also coordinates with global and regional stakeholders to align governance expectations, frameworks, methodologies, reporting, operating models, and emerging capabilities across jurisdictions, business lines, and legal entities. The role is based at an MUFG office or client site four days per week, with remote work one day per week. The typical base pay range is $225,000–$275,000, depending on job-related knowledge, skills, experience, and location. The role may also be eligible for discretionary performance-based bonus and/or incentive compensation. MUFG describes a Total Rewards package that includes health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, paid vacation, sick days, and holidays.

Requirements

  • Bachelor’s degree in Business, Risk Management, Finance, Information Systems, Technology, Data Science, Law, or a related discipline, or equivalent experience.
  • 10 or more years of experience in governance, risk management, compliance, audit, operational risk, technology risk, model risk, data governance, cybersecurity, third-party risk, or related disciplines.
  • 5 or more years of leadership experience within governance, risk, compliance, audit, technology, or related functions.
  • Experience designing, implementing, or managing governance programs, operating models, frameworks, or oversight functions.
  • Experience working in complex, regulated environments.
  • Experience interacting with senior executives, governance committees, audit functions, regulators, or similar stakeholders.
  • Strong understanding of governance, risk management, controls, issue management, escalation, monitoring, oversight, and accountability frameworks.
  • Deep understanding of AI governance, responsible AI concepts, emerging technology risks, third-party risk, data governance, model governance, operational risk, and technology governance.
  • Strong strategic thinking and organizational leadership capabilities.
  • Ability to influence outcomes and drive alignment across diverse stakeholder groups.
  • Strong analytical and decision-making skills.
  • Excellent written, verbal, presentation, and executive communication skills.
  • Ability to balance governance expectations with practical business and operational considerations.
  • Executive presence and ability to communicate effectively with senior leadership, governance committees, auditors, regulators, and global stakeholders.
  • Strong collaboration and relationship-management skills across business, technology, risk, compliance, legal, audit, and regional stakeholder groups.
  • Strong judgment, including the ability to challenge constructively, manage ambiguity, and escalate concerns appropriately.
  • Ability to operate effectively in highly visible, rapidly evolving, and complex environments.

Nice To Haves

  • Experience leading enterprise governance, risk management, technology governance, model governance, data governance, operational risk, or emerging-risk programs.
  • Experience supporting global or cross-regional governance initiatives.
  • Experience working with governance committees, executive forums, audits, examinations, or regulatory reviews.
  • Professional certification such as CRISC, CISA, CISSP, CISM, FRM, CAMS, CFE, CIPM, or a similar credential.

Responsibilities

  • Own the AI Risk Governance Program and its supporting governance operating model; establish strategic direction, priorities, and long-term maturity objectives.
  • Develop, implement, maintain, and continually improve governance frameworks, standards, methodologies, procedures, documentation, and supporting capabilities.
  • Oversee program effectiveness, operating model sustainability, staffing strategy, resource planning, and opportunities to improve governance effectiveness, efficiency, scalability, and transparency.
  • Provide enterprise oversight of AI governance activities and decision-making processes; ensure practices align with organizational objectives, risk-management expectations, and evolving requirements.
  • Lead governance review, challenge, escalation, and decision support for complex or high-impact matters; support AI oversight and decision-making forums and committees.
  • Promote consistent governance requirements across business units, technology functions, and risk disciplines, and integrate AI governance into existing business, technology, legal, compliance, risk, third-party oversight, resiliency, and operational governance processes.
  • Set governance expectations for intake, classification, assessment, inventory management, monitoring, reporting, issue management, escalation, and lifecycle governance.
  • Keep governance requirements aligned with industry practices, emerging risks, regulatory developments, and organizational needs; oversee performance metrics, reporting, and program maturity assessments.
  • Serve as the senior AI Risk Governance contact across business, technology, legal, compliance, risk, audit, and control functions; build partnerships and align governance objectives with business, technology, and operational priorities.
  • Support executive management, governance committees, and senior leaders with reporting, recommendations, and strategic insight; lead resolution of complex governance issues, escalations, and cross-functional challenges.
  • Coordinate with regional and global stakeholders on governance approaches, standards, methodologies, reporting requirements, and practices; participate in global working groups and strategic initiatives.
  • Facilitate knowledge sharing and coordination across legal entities, business lines, and regions; develop scalable capabilities that promote consistency while recognizing jurisdictional and organizational differences.
  • Monitor global AI governance trends and support enterprise and cross-regional initiatives related to emerging technologies, AI, and evolving risk-management priorities.
  • Oversee AI governance responses to audits, examinations, validations, regulatory reviews, and assurance activities; maintain complete, defensible, audit-ready documentation, evidence, reporting, and records.
  • Support management responses, remediation, and governance improvements arising from audit or regulatory observations; promote transparency, accountability, and traceability across the AI lifecycle.
  • Lead and develop the AI Risk Governance team, including the AI Risk Governance Lead and Analysts; set performance expectations, priorities, and quality standards and provide mentoring, coaching, and leadership support.
  • Support succession planning, capability development, workforce planning, and organizational growth, while fostering collaboration, accountability, and continuous improvement.

Benefits

  • Comprehensive health and wellness benefits
  • Retirement plans
  • Educational assistance and training programs
  • Income replacement for qualified employees with disabilities
  • Paid maternity and parental bonding leave
  • Paid vacation
  • Paid sick days
  • Paid holidays
  • Potential eligibility for discretionary performance-based bonus and/or incentive compensation
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