VP, AI Data Risk Management

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.

VP, AI Data Risk Management The Data Office is seeking a Vice President, AI Data Risk Management to help shape and strengthen the firm’s AI governance framework from a data perspective.

As organizations increasingly leverage artificial intelligence to drive innovation, improve customer experiences, enhance decision-making, and automate business processes, trusted and well-governed data has become foundational to managing AI risk. This role will serve as a key partner to business, technology, risk, compliance, model risk, legal, and governance teams to ensure that data supporting AI solutions is appropriately governed, controlled, transparent, and fit for purpose.

The successful candidate will combine expertise in data management, governance, controls, and risk management to help establish a scalable framework for identifying, assessing, monitoring, and mitigating AI-related data risks across the enterprise.

This is a senior individual contributor and team lead role with responsibility for influencing enterprise AI governance practices, supporting strategic AI initiatives, and helping drive responsible AI adoption throughout the organization.

Key Responsibilities AI Data Risk Management

• Partner with AI governance, technology, business, compliance, legal, model risk, privacy, and risk management teams to identify and manage data-related risks associated with AI solutions.
• Assess risks associated with AI training data, inference data, reference data, metadata, synthetic data, and external data sources.
• Help establish governance processes that promote the quality, integrity, transparency, lineage, and appropriate use of data throughout the AI lifecycle.
• Evaluate whether data used in AI solutions is adequately documented, understood, governed, and monitored.
• Support risk assessments for AI use cases and help identify potential data-related control gaps.
• Monitor emerging AI data risks and recommend enhancements to governance and control practices.

AI Governance & Controls

• Support the firm’s AI governance framework by defining data management expectations for AI use cases.
• Help establish policies, standards, and operating practices related to AI data management.
• Partner with stakeholders to implement controls supporting responsible AI development and usage.
• Assist in defining requirements for data sourcing, data ownership, data quality, lineage, monitoring, retention, and traceability.
• Promote consistent governance practices across AI inventories, workflows, and approval processes.

Data Management & Accountability

• Drive accountability for data used within AI solutions and AI-enabled business processes.
• Improve transparency into how data supporting AI solutions is collected, transformed, governed, consumed, and monitored.
• Help establish ownership and stewardship models for AI-related data assets.
• Support management of critical data elements, business glossaries, data lineage, data quality controls, and AI-related inventories.
• Partner with business teams to improve the availability and trustworthiness of data supporting AI initiatives.

Risk & Regulatory Support

• Collaborate with Risk, Compliance, Legal, Privacy, and Audit teams to support evolving regulatory and governance expectations related to AI.
• Support risk assessments, issue remediation efforts, control enhancements, and regulatory inquiries involving AI data practices…