AI Risk Governance Director

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

Overview

The Director, AI Risk Governance is responsible for the overall leadership, strategy, execution, and continual maturation of the AI Risk Governance Program. The Director serves as the enterprise owner of the AI Risk Governance Program and is responsible for establishing a consistent, scalable, and risk-based approach to governing AI solutions across the organization.

The Director is accountable for establishing, maintaining, and continuously enhancing governance capabilities that support the identification, assessment, oversight, monitoring, reporting, and escalation of AI-related risks throughout the AI lifecycle. The role provides leadership across governance processes, governance forums, inventory governance, monitoring activities, reporting requirements, policy and methodology development, stakeholder engagement, and governance program management.

The Director serves as the senior AI Risk Governance representative and collaborates extensively with Business Owners, Technology, Risk Management, Compliance, Legal, Information Security, Model Risk, Third-Party Risk Management, Audit, Operational Risk, Enterprise Risk, and other governance functions to support responsible AI adoption and effective AI risk management.

The role also works closely with global and regional stakeholders to promote alignment of governance expectations, frameworks, methodologies, reporting, operating model considerations, and emerging AI governance capabilities across jurisdictions, business lines, and legal entities.

AI Risk Governance provides centralized governance, oversight, coordination, challenge, escalation, inventory governance, monitoring, and reporting for AI use cases. Business Owners and established risk-management functions retain ownership of their respective risks, controls, decisions, and operational execution responsibilities.

Roles and Responsibilities

AI Risk Governance Program Ownership

• Own the AI Risk Governance Program and supporting governance operating model.
• Establish strategic direction, priorities, and long-term maturity objectives for the AI Risk Governance function.
• Lead the development, implementation, and maintenance of governance frameworks, standards, methodologies, procedures, and supporting governance capabilities.
• Oversee governance program effectiveness, operating model sustainability, staffing strategy, and resource planning.
• Identify and implement opportunities to improve governance effectiveness, efficiency, scalability, and transparency.

Enterprise Governance Leadership

• Provide enterprise oversight of AI governance activities and governance decision-making processes.
• Ensure governance practices remain aligned with organizational objectives, risk-management expectations, and evolving governance requirements.
• Lead governance review, challenge, escalation, and decision-support activities for complex or high-impact matters.
• Support governance forums and committee structures responsible for AI-related oversight and decision making.
• Promote consistent application of governance requirements across business units, technology functions, and risk disciplines.
• Drive integration of AI governance requirements into existing business, technology, legal, compliance, risk management, third-party oversight, resiliency, and operational governance processes.

Governance Strategy, Policy & Methodology

• Sponsor and oversee the development and maintenance of AI governance standards, …