AVP – Data Products and AI Enablement

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.

Assistant Vice President
- Data Products and AI Enablement

Job Summary The Assistant Vice President
- Data Products and AI Enablement is a hands-on engineering role responsible for building AI-powered applications and data products from backend services and APIs through intuitive user experiences. The role combines modern software engineering, AI/LLM development, data integration, and frontend development to deliver secure, scalable, and user-centric solutions for analytics and reporting users, relationship managers and business partners across the bank.

The ideal candidate combines strong frontend and backend engineering skills with practical experience integrating AI into production applications and a strong understanding of data-driven product development.

Major Responsibilities Design and build end-to-end AI-powered applications spanning frontend experiences, backend services, APIs, data platforms, and AI/LLM capabilities.

Develop intelligent applications using LLMs, RAG, vector search, semantic retrieval, AI agents, natural-language interfaces, and intelligent automation.

Build responsive and intuitive enterprise applications using React, Type Script, Next.js, Python, Node.js, and modern API architectures.

Develop backend services and APIs that integrate enterprise data, AI models, banking systems, and third-party platforms.

Transform complex financial, client, operational, and analytical data into intuitive dashboards, workflows, insights, and decision-support experiences.

Build reusable frontend components, design systems, data visualizations, and application frameworks that accelerate delivery across the Chief Data & AI Office.

Partner with product managers, designers, data scientists, AI engineers, and business stakeholders to rapidly prototype, validate, and produce new AI and data products.

The above statements describe the general nature and level of work performed. They are not intended to be an exhaustive list of all responsibilities, duties, and qualifications required.

Qualifications Required Typically  5+ years of software, backend, platform, or data engineering experience, including distributed systems and production data platforms.

Knowledge of data security, governance, high availability, disaster recovery, observability, and performance optimization.

Strong communication, stakeholder management, problem-solving, and technical leadership skills.

Preferred Relevant cloud, data engineering, Kubernetes, or AI/ML certification.

Experience delivering technology solutions in financial services or another highly regulated industry.

Experience working with cybersecurity, data governance, model risk, architecture, and control functions

Core Expertise AI/LLM Applications | Agentic AI | RAG & Vector Search |…