VP, Data Office Transformation

Mitsubishi UFJ Financial Group•Jersey City, NJ
•Hybrid

About The Position

The Data Office is seeking a Vice President, Data Office Transformation to serve as an internal consultant and strategic advisor, driving the evolution of the firm's data management capabilities. The role partners with Data Office leadership, business stakeholders, technology teams, and enterprise partners to modernize and improve how data is managed across the organization. It helps shape and execute the Data Office’s future vision across operating models, governance, organizational effectiveness, data products, risk management, controls, reporting, and business adoption. This senior individual-contributor role combines strategy consulting, business transformation, operating-model design, and change leadership. It focuses on identifying business problems, developing recommendations, influencing stakeholders, and leading sustainable transformational change rather than traditional program management. The position requires strong analytical, communication, and influence skills, and the ability to work across organizational boundaries. The selected colleague works at an MUFG office or client sites four days per week and remotely one day per week. The role may be eligible for discretionary performance-based bonus and/or incentive compensation. The typical base pay range is $159,000–$193,000 in New York/New Jersey and $134,000–$170,000 elsewhere, depending on job-related knowledge, skills, experience, and location. Visa sponsorship or support is not anticipated for this position.

Requirements

  • At least 8 years of experience in management consulting, business transformation, strategy, operations, business management, organizational effectiveness, or related disciplines.
  • Demonstrated experience leading complex cross-functional initiatives.
  • Strong strategic thinking and problem-solving skills.
  • Ability to synthesize complex information into clear recommendations and actionable plans.
  • Strong executive presence and ability to influence senior stakeholders.
  • Excellent written, verbal, and presentation skills.
  • Experience developing executive-level materials and business cases.
  • Proven ability to drive change in large, complex organizations.
  • Bachelor's degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

  • Experience within financial services, banking, consulting, or other highly regulated industries.
  • Experience with data management, governance, risk management, AI governance, or business transformation programs.
  • Familiarity with operating-model design, organizational strategy, process improvement, or business architecture.
  • Experience supporting executive leadership teams, Chief of Staff organizations, or enterprise transformation offices.

Responsibilities

  • Act as an internal consultant to Data Office leadership, identifying and prioritizing strategic improvement opportunities.
  • Evaluate operating models, processes, governance structures, organizational capabilities, and technology solutions to identify opportunities for simplification and modernization.
  • Develop future-state strategies, operating models, and transformation roadmaps that improve effectiveness, scalability, and business value.
  • Lead high-impact initiatives advancing the Data Office’s strategic objectives and support multi-year transformation plans.
  • Assess organizational structures, roles, responsibilities, and delivery models to improve efficiency and accountability.
  • Recommend improvements to processes, organizational capabilities, and workforce utilization; support workforce planning, operating-model redesign, and organizational change.
  • Identify opportunities to centralize, automate, simplify, or eliminate low-value activities.
  • Define success metrics and business outcomes for transformation initiatives.
  • Strengthen data quality, business data management, data products, AI readiness, governance capabilities, and risk management practices.
  • Define future-state capabilities for trusted data, self-service adoption, data risk management, analytics, and AI enablement.
  • Evaluate industry practices and emerging trends to advance the firm's data program.
  • Develop executive-level presentations, business cases, recommendations, and strategic communications.
  • Facilitate leadership workshops, planning sessions, and decision-making forums.
  • Analyze and challenge strategic initiatives, investment decisions, and organizational priorities; support evaluation of trade-offs, risks, dependencies, and implementation approaches.
  • Develop materials for senior executives, governance forums, and steering committees.
  • Lead cross-functional initiatives from strategy development through execution.
  • Track benefits realization and ensure initiatives deliver measurable business value.
  • Manage dependencies, risks, and stakeholder engagement; drive accountability across teams and stakeholders.
  • Establish reporting and metrics demonstrating progress against transformation objectives.
  • Foster innovation, continuous improvement, and constructive challenge, and serve as a trusted advisor and thought partner to organizational leaders.

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
  • Potential eligibility for discretionary performance-based bonus and/or incentive compensation
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