Director, Data Governance & Transformation

MUFG • New York, NY

1d • $200,000 - $276,000 • Hybrid

About The Position

Serves as a senior member of the Data Office leadership team and strategic deputy to the Head of the Data Office. Helps shape the bank’s enterprise data governance and operating model so data is trusted, accessible, and leveraged as a strategic asset to drive business growth, operational excellence, informed decision-making, and AI-enabled innovation. Helps define enterprise priorities, influence executive decisions, and lead organizational change to modernize how data is managed and used across the bank.

Acts as a trusted advisor to senior executives, solving complex business challenges through effective use of data and helping shape the future direction of the Data Office. Balances strategic vision with practical execution so data-related investments, governance practices, and transformation initiatives deliver measurable business value and sustainable outcomes.

The role follows a hybrid schedule: four days per week at an MUFG office or client site and one remote day per week. It is not a data engineering, software development, architecture, data science, report production, analytics delivery, second-line risk, compliance, coding, system configuration, or technical platform administration role. It is focused on influencing how the organization governs and manages data strategically.

Requirements

• 12 or more years of experience in financial services, consulting, operations, analytics, data management, or related disciplines.
• Experience influencing senior executives and driving organizational change without direct authority.
• Exceptional written and verbal communication skills, including preparing materials for executive, board, audit, and regulatory audiences.
• Proven ability to operate effectively in ambiguous environments and lead large-scale transformation efforts.
• Strong understanding of how data supports business processes, customer outcomes, financial reporting, risk management, analytics, or operational decision-making.
• Demonstrated experience leading enterprise change initiatives and influencing strategic decisions across multiple business functions.
• Bachelor’s degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

• Experience leading large-scale business transformation or operating model modernization initiatives.
• Experience advising senior executives on strategic planning, organizational change, or enterprise operating model design.
• Experience working directly within business functions such as Operations, Finance, Risk, Corporate Banking, Capital Markets, or similar disciplines.
• Experience identifying and delivering measurable business value through improved data management practices.
• Experience modernizing or designing enterprise data governance frameworks or policies.

Responsibilities

• Serve as delegate for the Head of the Data Office in executive, regulatory, and strategic forums and help drive enterprise priorities across the Data Office portfolio.
• Partner with the Head of the Data Office to define enterprise priorities, operating plans, investment strategies, and transformation objectives.
• Help shape and execute enterprise data strategy, aligning Data Office initiatives with business priorities, regulatory expectations, risk objectives, and technology transformation.
• Establish and drive roadmaps for enterprise data capabilities, including data quality, lineage, metadata, data risk management, AI readiness, and trusted data enablement.
• Provide senior-level perspective on enterprise data policy, operating model, and accountability decisions.
• Partner with senior business leaders to identify how improved data management can unlock business value, efficiency, risk reduction, better client outcomes, and decision-making.
• Help business leaders improve decision-making speed, operational effectiveness, client experience, and business performance through trusted, accessible, well-understood data.
• Connect enterprise data investments and capabilities to business objectives, measurable outcomes, and priority transformation initiatives.
• Challenge existing practices and recommend practical improvements to how data is created, managed, controlled, and used across the enterprise.
• Lead enterprise data and operating model modernization initiatives that improve performance, transparency, efficiency, accountability, and decision-making.
• Identify systemic issues, organizational barriers, manual processes, and operating model inefficiencies that limit effective use of trusted data.
• Identify opportunities to reduce process complexity, eliminate manual workarounds, and improve outcomes through enhanced data practices.
• Lead resolution of cross-functional data challenges requiring executive alignment across business objectives, technology constraints, operational processes, and risk considerations.
• Drive pragmatic data management practices that balance business enablement, regulatory expectations, risk management, and operational sustainability.
• Lead the enterprise accountability model, driving clear ownership and execution of data responsibilities within business and technology organizations.
• Drive adoption of trusted data capabilities supporting business strategy, analytics, regulatory reporting, AI initiatives, and enterprise decision-making.
• Establish enterprise performance measures for business adoption, operational effectiveness, data trust, risk reduction, and value realization.
• Modernize data governance practices so they are embedded in business operations and enable business outcomes.
• Develop executive communications, strategic updates, and decision materials articulating Data Office priorities, risks, progress, and business value.
• Promote a culture of data ownership, accountability, and practical problem-solving across business and technology teams.
• Elevate data literacy and business adoption by explaining how trusted data supports performance, risk management, AI, and operational resilience.
• Represent the Data Office as a credible business partner that helps solve enterprise challenges through better use of data.

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, sick days, and holidays.
• The role may be eligible for discretionary performance-based bonus and/or incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Director