AI Adoption & Commercialization Senior Lead - Senior Vice President
About The Position
Citi Services is seeking an AI Adoption & Commercialization Senior Lead within its Platforms and Data Services organization. The role owns the vision, strategy, adoption, commercialization, and measurable outcomes of AI solutions across clusters and countries, driving client-facing value and internal agility across Liquidity Management Services, Payments, Trade & Working Capital Solutions, Investor Services, and Issuer Services. It works with product, operations, technology, and other teams to identify and execute relevant AI use cases while representing client needs and ensuring alignment with local regulations and control frameworks. The role drives adoption of enterprise AI tools through training, usage tracking, and targeted support. It defines use-case and standard adoption KPIs, measures financial returns against investment and running costs, and develops dashboards and reporting that communicate results and support funding decisions. It also gathers client and competitor intelligence, co-creates AI products with clients, and shares best practices across regional clusters to accelerate adoption. The Senior Lead monitors and communicates AI adoption and usage metrics to cluster and country leadership, supports regulatory reporting, and translates local regulatory requirements for global teams. In addition, the role partners with Engineering, Design, Data, and Customer Service teams to prioritize and deliver product strategy using Agile methodologies, leads innovation around emerging technologies, and ensures appropriate compliance and risk oversight across jurisdictions.
Requirements
- 10+ years of Product Management, adoption, or commercialization experience.
- 3+ years of AI experience.
- Bachelor's degree in Finance, Business Administration, analytics, or a sales and commercialization discipline.
- Strong analytical thinking to evaluate data, identify patterns, and make informed product decisions.
- Broad and diverse functional experience in payments, cards, liquidity, trade, product development, and data analytics.
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
- Ability to work unsupervised and adjust priorities quickly as circumstances dictate.
- Clear and concise written and verbal communication.
- Ability to work effectively in a team-oriented and Agile environment.
- High sense of ownership and self-driven approach.
Nice To Haves
- Master's degree.
Responsibilities
- Drive adoption of enterprise tools and AI solutions across Citi Services and provide structured feedback on usability and outcomes.
- Educate CCO, Banking, and Sales stakeholders about the value of AI use cases.
- Represent Services' needs and progress to local regulators and senior leadership, and help secure alignment and investment.
- Conduct or lead training on enterprise AI tools, track adoption and usage, and focus additional training where adoption is low.
- Define, track, and report KPIs for each use case by cluster and country, as well as standard adoption and commercialization KPIs.
- Measure financial returns against investment and value generation, including running costs and cost-to-serve versus realized return.
- Build dashboards and reporting cadences that communicate AI investment outcomes and support continued funding decisions.
- Collaborate with product, operations, technology, and IBR teams to develop locally relevant AI use cases and ensure client perspectives are included in execution.
- Work with Product, global teams, and the Services AI Central team to present and participate in use-case execution.
- Ensure AI use cases reflect client needs and adhere to local regulations and control frameworks; share information about market disruptors.
- Conduct client and competitor research to identify gaps, inform the product innovation roadmap, and differentiate Citi's AI offering.
- Co-create AI products with clients and stay current on AI use cases, risks, and global implementation strategies.
- Share AI best practices, lessons learned, and use-case blueprints; establish communities of practice and connect regional clusters to avoid duplicated effort.
- Educate local teams, leaders, and country heads, and prepare them for regulatory reporting.
- Understand local regulations, communicate them to global teams to support regulatory observability, and provide regulatory reports as needed by countries or clusters.
- Own and report AI adoption and usage metrics in cluster-head and country-head MBRs; educate leaders and help them track AI indexes for clusters, countries, clients, and local employees.
- Create innovative AI experiences for clients and use emerging technologies to improve how users interact with data and complete tasks.
- Partner with Engineering, Design, Data, and Customer Service teams to plan, prioritize, and deliver product strategy using Agile methodologies.
- Lead innovation with Engineering teams and stay current with emerging digital technologies in Finance and Technology.
- Represent Services' progress to local regulators and ensure AI deployments comply with applicable laws, rules, and regulations across jurisdictions.
- Assess risk in business decisions and safeguard Citigroup's reputation, clients, and assets through compliance oversight.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k)
- Life insurance
- Accident insurance
- Disability insurance
- Wellness programs
- Paid vacation
- Paid sick leave
- Paid holidays
- Discretionary and formulaic incentive and retention awards for eligible employees
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What This Job Offers
Job Type
Full-time
Career Level
Senior
