Vice President - Data Products& AI EnablementJob SummaryThe Vice President - Data Products & AI Enablement is a hands-on engineering role responsible for designing, building, and scaling the bank'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 enable enterprise analytics and intelligent applications across the bank. The ideal candidate combines strong software engineering fundamentals with deep expertise in data infrastructure, distributed systems, cloud platforms, and emerging AI technologies.
Major 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.
QualificationsRequired- 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.
Preferred- 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.
Core ExpertiseAI/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 | Financial Services
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: $ 150-188K
- Non-New York / New Jersey: $137-169 K
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
