VP – Data Products and AI Enablement

MUFG • Walnut Creek, CA

1d • $137,000 - $188,000 • Hybrid

About The Position

The Vice President - Data Products & AI Enablement is a hands-on engineering role responsible for designing, building, and scaling MUFG’s data and AI engineering platforms. The role focuses on high-performance data infrastructure, distributed systems, AI/ML platforms, data pipelines, semantic retrieval, and production-grade AI services that support enterprise analytics and intelligent applications across the bank.

The position partners with data scientists, AI engineers, product managers, architects, cybersecurity, risk, and business teams to turn complex requirements into scalable technical solutions. The selected colleague works at an MUFG office or client sites four days per week and remotely one day per week.

The typical base pay range is $150,000–$188,000 in New York/New Jersey and $137,000–$169,000 elsewhere, depending on job-related knowledge, skills, experience, and location. The role may also be eligible for discretionary performance-based bonus and/or incentive compensation. MUFG offers a benefits package that includes 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

• 8+ years of progressive software, backend, platform, or data engineering experience, including enterprise-scale 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.
• Bachelor's degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience.

Nice To Haves

• Advanced degree or relevant cloud, data engineering, Kubernetes, or AI/ML certifications.
• Experience delivering technology solutions in financial services or another highly regulated industry.
• Experience partnering with cybersecurity, data governance, model risk, architecture, and control functions.

Responsibilities

• Design and develop scalable backend data and AI platforms supporting commercial banking, risk, finance, operations, and enterprise data use cases.
• Build production-grade AI infrastructure, including vector search, embeddings, RAG pipelines, LLM integrations, AI agents, semantic retrieval, and intelligent data services.
• Develop high-volume data pipelines and distributed processing frameworks using Python, SQL, Kafka, Airflow, Spark, and cloud-native technologies.
• Optimize data storage, retrieval, indexing, and compute performance across large-scale structured, unstructured, and vector datasets.
• Develop and operationalize AI/ML workloads across cloud infrastructure, including model serving, inference, retrieval, evaluation, monitoring, and lifecycle management.
• Partner with data scientists, AI engineers, product managers, architects, cybersecurity, risk, and business teams to translate complex requirements into scalable technical solutions.

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