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, TypeScript, 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 | Full-Stack Engineering | React | TypeScript | Next.js | Python | Node.js | REST APIs | Data Integration | Cloud | Data Visualization | Enterprise Applications | AI-Powered UX | CI/CD | Testing | Financial Services | Security & Governance

 

 

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: $96-143 K
• Non–New York / New Jersey: $90-129K

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.