AI Product 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.

JR: 10078337

Technical Product Manager – AI (Vice President)

Role Summary

The Technical Product Manager, AI is responsible for defining, prioritizing, and delivering AI-powered products and platforms that drive measurable business outcomes while meeting enterprise standards for risk, governance, security, and compliance. The role serves as the bridge between business strategy, engineering execution, enterprise architecture, and AI capabilities.  

Key Responsibilities

Product Strategy & Roadmap

• Define AI success metrics aligning with AI Strategy
• Identify and prioritize AI use cases based on business value, feasibility, data readiness, risk, and strategic alignment.
• Develop business cases and investment proposals for AI initiatives.
• Manage product lifecycle from ideation through production and adoption.  

Technical Product Leadership

• Translate business needs into product requirements, epics, user stories, and acceptance criteria.
• Partner with AI engineers, architects, data scientists, platform teams, and cybersecurity teams to deliver AI solutions.
• Drive technical decisions regarding AI platforms, LLMs, RAG, agents, model selection, and integration patterns.
• Ensure scalability, reliability, observability, and operational readiness of AI products.

Stakeholder Management

• Serve as the primary interface between business stakeholders, technology teams, risk, legal, compliance, and operations.
• Lead cross-functional product planning and prioritization.
• Present roadmap progress, risks, and value realization to executive leadership.

Governance & Risk

• Ensure AI products meet Responsible AI, Model Risk, Privacy, Security, and Regulatory requirements.
• Incorporate human oversight, explainability, auditability, and governance controls into product design.
• Partner with Risk, Compliance, and Legal teams throughout the delivery lifecycle.

Adoption & Value Realization

• Define KPIs and success measures.
• Track adoption, productivity gains, risk reduction, cycle-time improvements, and operational efficiency metrics.
• Drive change management, training, and stakeholder engagement to maximize business value.

Required Qualifications

Experience

• 8-12+ years of experience in Product Management, Technology Strategy, Digital Transformation, Enterprise Platforms, or AI/ML-related initiatives.
• Demonstrated experience delivering enterprise-scale technology products.
• Experience working in highly regulated environments such as financial services, banking, insurance, or healthcare preferred.
• Proven ability to manage complex cross-functional programs involving business and technology stakeholders

Technical Knowledge

• Strong understanding of:
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI
  • AI Platforms and LLMOps
  • Data Products and APIs
• Ability to evaluate AI architectures, vendor offerings, and implementation approaches.
• Familiarity with cloud platforms (AWS/Azure), AI governance, data governance, and enterprise integration patterns

Leadership Skills

• Executive communication and influencing skills.
• Strong strategic thinking and prioritization capability.
• Ability to align multiple business units around a common roadmap.
• Excellent analytical and decision-making skills in ambiguous environments.

Success Measures

The VP, Technical Product Manager AI will be measured on:

• AI business value delivered.
• User adoption and satisfaction.
• Product delivery against roadmap commitments.
• Regulatory and risk compliance outcomes.
• Platform utilization and scalability.
• Time-to-market for AI capabilities.
• Executive stakeholder satisfaction.
• AI portfolio ROI

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: $149-205K
• Non–New York / New Jersey: $149-188K

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.