Director, Data Governance & Transformation

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.

Title: Director, Data Governance Transformation & Enablement

Position Summary

Serves as a senior member of the Data Office leadership team and strategic deputy to the Head of the Data Office. This role is responsible for helping shape the bank's enterprise data governance and operating model to ensure data is trusted, accessible, and leveraged as a strategic asset that drives business growth, operational excellence, informed decision-making, and AI-enabled innovation. The role will help define enterprise priorities, influence executive decision-making, and drive the organizational change required to modernize how data is managed and used across the bank.

The successful candidate will serve as a trusted advisor to senior executives, helping solve complex business challenges through the effective use of data while shaping the future direction of the Data Office. This individual will balance strategic vision with practical execution, ensuring data-related investments, governance practices, and transformation initiatives deliver measurable business value and sustainable outcomes.

Key Responsibilities

Data Office Leadership & Enterprise Strategy

• Serve as the delegate for the Head of the Data Office, representing the function in executive, regulatory, and strategic forums and helping 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 the enterprise data strategy, ensuring Data Office initiatives are aligned to business priorities, regulatory expectations, risk objectives, and technology transformation.
• Establish and drive strategic 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, ensuring requirements are practical, sustainable, and aligned to business outcomes.

Business Enablement & Strategic Advisory

• Partner with senior business leaders to identify opportunities where improved data management can unlock business value, operational efficiency, risk reduction, client outcomes, and better decision-making.
• Help business leaders improve decision-making speed, operational effectiveness, client experience, and business performance through better use of trusted, accessible, and well-understood data.
• Connect enterprise data investments and capabilities to strategic business objectives, measurable outcomes, and priority transformation initiatives.
• Challenge existing practices and recommend practical solutions that improve how data is created, managed, controlled, and used across the enterprise.

Enterprise Transformation & Operating Model Modernization

• Lead enterprise data and operating model modernization initiatives that improve business performance, transparency, efficiency, accountability, and decision-making.
• Identify systemic issues, organizational barriers, manual processes, and operating model inefficiencies that limit the effective use of trusted data.
• Identify opportunities to reduce process complexity, eliminate manual workarounds, and improve business outcomes through enhanced data practices.
• Lead resolution of cross-functional data challenges where business objectives, technology constraints, operational processes, and risk considerations require executive alignment and decision-making.

Governance, Accountability & Risk Alignment

• Drive the development of pragmatic data management practices that balance business enablement, regulatory expectations, risk management, and operational sustainability.
• Provide leadership across the enterprise accountability model, driving clear ownership and execution of data-related responsibilities within business and technology organizations.
• Drive adoption of trusted data capabilities that support business strategy, analytics, regulatory reporting, AI initiatives, and enterprise decision-making.
• Establish enterprise performance measures that track business adoption, operational effectiveness, data trust, risk reduction, and value realization from Data Office initiatives.
• Support the modernization of data governance practices so they are embedded into business operations and viewed as enablers of business outcomes rather than administrative requirements.

Executive Engagement, Communications & Culture

• Develop executive communications, strategic updates, and decision materials that clearly articulate 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 helping stakeholders understand how trusted data supports business performance, risk management, AI, and operational resilience.
• Represent the Data Office as a credible business partner that helps the organization solve enterprise challenges through better use of data.

Qualifications

• 12+ 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 experience 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.

Preferred Qualifications

• 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/policies.

What Success Looks Like

• Business leaders have greater confidence in the data used to make critical decisions.
• Governance processes are streamlined and viewed as enablers rather than administrative requirements.
• Data ownership and accountability are embedded within business operations.
• Strategic business initiatives, analytics, and AI capabilities can leverage trusted and well-understood data.
• Regulatory expectations are satisfied through sustainable operating practices rather than point-in-time remediation efforts.

What This Role Is Not

• Not a data engineering, software development, architecture, or data science role.
• Not a report production or analytics delivery role.
• Not a second-line risk or compliance role.
• Not focused on coding, system configuration, or technical platform administration.
• Not limited to policy compliance; the role is accountable for influencing how the organization governs and manages data in a strategic manner.

Education:

• Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.

The typical base pay range for this role is as follows:

• New York / New Jersey: $224-276K
• Non–New York / New Jersey: $200-256K

depending on job-related knowledge, skills, experience and location. This role may also be eligible for certain discretionary performance-based bonus and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes 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, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

Our hybrid work schedule is four days on-site and work remotely one day per week.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.