VP - Data Products and AI Enablement

MUFG • Walnut Creek, CA

2d • $137,000 - $188,000 • Hybrid

About The Position

MUFG is seeking a technology and product leader with extensive banking and financial services experience and expertise spanning data, machine learning, AI, cloud technology, product management, regulatory reporting, and financial analytics. The role calls for someone who can engage executives on strategy, work with engineers and data scientists on implementation, and partner with risk and control organizations to deliver governed, production-grade solutions. The candidate will have experience implementing Automated Quantitative Analytics solutions and delivering AI solutions to front- and back-office teams.

The VP will lead the product lifecycle from business discovery and requirements through architecture, development, production deployment, adoption, and ongoing improvement. The role designs scalable backend data and AI platforms and develops AI-powered products for commercial banking, risk, finance, operations, and enterprise use cases. It also partners across technology, data, business, and control teams to create trusted, reusable data assets and governed solutions that meet security, audit, quality, SOX, and regulatory requirements.

This position follows a hybrid schedule: four days per week at an MUFG office or client site and one day working remotely. The role may be eligible for discretionary performance-based bonus or incentive compensation. MUFG describes its Total Rewards package as including health and wellness benefits, retirement plans, educational assistance and training, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.

Requirements

• At least 10 years of progressive software, backend, platform, or data engineering experience, including enterprise-scale distributed systems and production data platforms.
• At least 8 years of product management experience managing data products, analytics, and reporting solutions, including leading cross-functional teams.
• Strong communication, stakeholder management, problem-solving, and technical leadership skills.
• Bachelor’s degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

• Hands-on AI prototyping or feature-building experience.
• Experience delivering technology solutions in financial services or another highly regulated industry.
• Expertise in AI/LLM engineering, agentic AI, RAG and vector search, data engineering, distributed systems, Python and SQL, Kafka, Airflow, Spark, Kubernetes, AWS/cloud, APIs and microservices, AI/ML infrastructure, data security and governance, high availability, CI/CD, or financial services.

Responsibilities

• Lead the end-to-end product lifecycle, from business discovery and requirements through architecture, development, production deployment, adoption, and continuous improvement.
• Design scalable backend data and AI platforms supporting commercial banking, risk, finance, operations, and enterprise data use cases.
• Develop and scale AI-powered products using technologies such as LLMs, RAG, natural-language-to-SQL, AI agents, and intelligent automation to improve operational processes and information delivery for management, sales, and regulatory reporting.
• Partner with data engineering and technology teams to establish trusted, reusable, governed data products and centralized data assets across commercial and corporate investment banking domains.
• Embed data and AI governance, security, model controls, SOX, auditability, data quality, and regulatory requirements into product design and delivery.
• Translate complex banking, financial, regulatory, and operational requirements into intuitive self-service products, analytics platforms, and actionable insights for executives, relationship managers, and business teams.
• Serve as a senior subject-matter expert across banking data, financial reporting, regulatory reporting, risk, capital markets, and AI-enabled transformation.
• Collaborate with data scientists, AI engineers, product managers, architects, cybersecurity, risk, and business teams to translate complex requirements into scalable technical solutions.
• Set the operating model for how the team applies AI and raise proficiency through enablement for end users and internal team members.

Benefits

• 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.
• Paid vacation, sick days, and holidays.
• Potential eligibility for discretionary performance-based bonus and/or incentive compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior