AVP – Data Products and AI Enablement

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