Vice President, Data Products & Analytics Engineer - MUFG

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 Data Management Engineering organization is executing a product‑centric data strategy to deliver trusted, business‑aligned data products that power analytics, AI enablement, and critical decisioning across the enterprise. The organization partners closely with business, technology, and other stakeholders to ensure data assets are governed, scalable, and fit for regulatory and operational use across business domains.

The Vice President, Data Products & Analytics Engineer is a senior individual‑contributor reporting to the Head of Data Management Engineering. This role has broad responsibility for shaping data product strategy, assessing business requirements, defining solutions, and ensuring consistent standards across multiple data product initiatives. This role demands strong influence across business and technology organizations, with regular interaction with senior leaders to align data product roadmaps, platform architecture, and engineering execution to enterprise priorities and measurable business outcomes.

Responsibilities for Data Products & Analytics Engineer:

• Develop and maintain strong, trust-based relationships with key stakeholders to understand their business challenges and identify how data solutions can support their objectives.
• Empower business and corporate functions with robust data capabilities, ensuring clear lineage to products, services, and business processes, providing valuable data insights within the business context, and facilitating seamless data access.
• Optimize data product lifecycle management to drive modernization and value from our data assets. Identify process and procedural optimizations to advance data governance, management, and use.
• Proactively engage with data users to drive data maturity, adoption, and self-service. Facilitate a culture of continuous improvement and data systems thinking.
• Partner with senior business stakeholders to understand strategic objectives and ensure data products enable analytics, reporting, and data consumption challenges.