Data Product & AI Enablement Manager

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.

Director - Data Product & AI Enablement Manager

Job Summary

The Data Product & AI Enablement Manager is responsible for defining, building, and managing enterprise data products and AI-enabled capabilities that drive business outcomes, operational efficiency, regulatory compliance, and innovation. This role serves as the bridge between business stakeholders, technology teams, data engineering, analytics, and AI specialists to ensure data and AI investments deliver measurable value.

The position will establish product strategy, prioritize roadmaps, oversee delivery, and drive adoption of data and AI solutions across the organization. The incumbent will lead cross-functional teams and collaborate with business leaders to identify opportunities where data products, machine learning, generative AI, and automation can improve decision-making, customer experience, risk management, and productivity.

Key Responsibilities

Data Product Strategy & Management

• Develop and execute the vision, strategy, and roadmap for enterprise data products.
• Define product objectives, success metrics, and value realization plans.
• Partner with business stakeholders to understand requirements and prioritize product enhancements.
• Create and manage data product backlogs and delivery roadmaps.
• Establish governance, ownership, and lifecycle management for data products.

AI Strategy & Enablement

• Identify and evaluate opportunities to leverage AI, machine learning, and generative AI capabilities.
• Lead the design and implementation of AI-enabled business solutions.
• Partner with technology and risk teams to ensure responsible AI practices are embedded into all solutions.
• Drive adoption of AI platforms, copilots, intelligent automation, and agentic AI capabilities.
• Monitor AI performance, value realization, and business impact.

Product Delivery

• Work closely with engineering, architecture, analytics, and business teams to deliver scalable solutions.
• Lead Agile product management practices including roadmap planning, backlog prioritization, sprint reviews, and stakeholder engagement.
• Manage dependencies across multiple teams and initiatives.
• Ensure solutions meet quality, security, data governance, and regulatory requirements.

Stakeholder Management

• Serve as the primary liaison between business leaders and delivery teams.
• Communicate product strategy, progress, risks, and outcomes to executive stakeholders.
• Build strong partnerships across Technology, Operations, Risk, Compliance, Human Resources, Finance, and Business Units.

Data Governance & Risk Management

• Promote data quality, lineage, governance, privacy, and security standards.
• Ensure compliance with regulatory expectations related to data and AI solutions.
• Support model governance, AI controls, and responsible AI frameworks.

People Leadership

• Lead, mentor, and develop a team of product managers, analysts, and data professionals.
• Foster a culture of innovation, experimentation, and continuous improvement.
• Build organizational capabilities in product management, data literacy, and AI adoption.

Qualifications

Education

• Bachelor's degree in Computer Science, Data Science, Finance, Information Systems, Engineering, Business, or related field.
• Master's degree preferred.

Experience

• 8–12+ years of experience in product management, data management, analytics, technology, or related disciplines.
• 3–5+ years leading cross-functional teams or direct reports.
• Experience delivering enterprise data products or AI-driven solutions.
• Experience operating within complex, regulated environments preferred.
• Demonstrated success driving business transformation through data and technology.

Technical Skills

• Strong understanding of:
  • Data products and data governance
  • Data architecture and cloud platforms
  • AI/ML and Generative AI technologies
  • Data visualization and analytics
  • Agile methodologies and product management practices
• Familiarity with:
  • Snowflake
  • Databricks
  • Azure AI
  • Microsoft Fabric
  • Microsoft Copilot
  • Large Language Models (LLMs)
  • Data marketplaces and APIs

Leadership Competencies

• Strategic thinking and business acumen.
• Ability to influence senior executives and drive decision-making.
• Strong communication and stakeholder management skills.
• Results-oriented mindset with a focus on delivering measurable business value.
• Ability to translate complex technical concepts into business outcomes.

Success Measures

The Data Product & AI Manager will be evaluated on:

• Data product adoption and utilization
• Delivery of roadmap commitments
• AI use case implementation and value realization
• Productivity improvements achieved through data and AI solutions
• Data quality and governance outcomes
• Stakeholder satisfaction
• Team engagement and capability development

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: $181-234K
• Non–New York / New Jersey: $176-215K

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.