Data Product & AI Enablement Manager

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.

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

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

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

• 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.

• 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
• 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
• Snowflake
• Databricks
• Azure AI
• Microsoft Fabric
• Microsoft Copilot
• Large Language Models (LLMs)
• Data marketplaces and APIs

• 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

• 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

•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.”

• 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.