VP, Data Products & AI Enablement

Quick Facts

• Role: Technology and product leadership for data products and AI enablement

• Work pattern: 4 days on-site, 1 day remote

Description

A senior technology and product leader with deep expertise in data, ML, AI, and cloud who will own governed, production-grade solutions across commercial banking, risk, finance, operations, and enterprise data use cases. The role spans executive strategy, close collaboration with engineers and data scientists, and partnership with risk and control organizations to deliver AI and data products.

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 LLMs, RAG, natural-language-to-SQL, AI agents, and intelligent automation

• Partner with data engineering and technology teams to establish trusted, reusable, governed data products and centralized data assets

• 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 self-service products, analytics platforms, and actionable insights

• Act as a senior subject-matter expert across banking data, financial/regulatory reporting, risk, capital markets, and AI-enabled transformation

Requirements

• 10+ years progressive software, backend, platform, or data engineering experience, including enterprise-scale distributed systems and production data platforms

• 8+ years in Product Management managing data products, analytics, and reporting solutions; experience leading cross-functional teams

• Experience implementing Automated Quantitative Analytics solutions

• Experience delivering AI solutions to front-office and back-office teams

• Strong communication, stakeholder management, problem-solving, and technical leadership skills

• Bachelor’s degree in Computer Science or a closely related discipline, or equivalent education and experience

Benefits

• Competitive total rewards package including comprehensive health and wellness benefits, retirement plans, educational assistance and training programs

• Paid leave (including paid maternity and parental bonding leave) and paid vacation, sick days, and holidays

• May be eligible for discretionary performance-based bonus and/or incentive compensation