AI Adoption & Commercialization Senior Lead - Senior Vice President
citigroupBrooklyn (NY)
AI Adoption & Commercialization Senior Lead - Senior Vice President
Posted today
citigroupBrooklyn (NY)
SENIORITY
Manager
About the role
Overview:
In this role you drive the strategic adoption and commercialization of AI across Citi Services, aligning AI outcomes with business goals and regulatory expectations. You will lead cross-functional efforts to educate stakeholders, track KPIs, and secure investment for scalable AI initiatives. The position sits in Platforms and Data Services, enabling AI value across liquidity, payments, trade, and issuer services. You’ll build observability, regulate compliance, and translate AI investment into board-level narratives, shaping Citi’s AI maturity. Compensation / Benefits medical, dental & vision coverage 401(k) life, accident, and disability insurance wellness programs paid time off paid holidays
Responsibilities:
Drive adoption of enterprise AI tools and solutions across Citi Services Provide feedback on AI usability and outcomes to stakeholders Educate CCO, Banking, and Sales on use case value and regulatory alignment Lead or coordinate trainings to improve AI tool adoption and usage Define and report KPIs per use case, cluster, and country; measure ROI and cost-to-serve Build dashboards and narratives to translate AI investment into financial context for leadership Collaborate with product, ops, tech, and IBR to generate local use cases and ensure regulatory compliance Disseminate AI best practices and create communities of practice to avoid duplication Manage regulatory reporting needs and ensure observability for compliance
Key requirements:
10+ years of Product Management, Adoption, commercialization experience 3+ years of AI experience Bachelor’s Degree in Finance, Business Administration, analytics or Sales and commercialization discipline; Master’s preferred Strong analytical thinking to evaluate data and guide decisions Broad experience in payments, cards, liquidity, trade, product development and data analytics Ability to work under pressure, adjust priorities, and work unsupervised Clear and concise written and verbal communication Team-oriented, agile, with high ownership and self-drive strong communication collaboration across functions ownership and accountability Enterprise AI tools Data analytics and dashboards KPI definition and tracking
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