AI Product Strategy & Agentic Solutions, Liquidity Management - Director
Citigroup
- Location
- New York New York United States
- Work model
- On-Site
- Level
- Staff
- Posted
- Sep 12, 2026
Skills
About this role
Services provides global solutions that help corporations, financial institutions, public sector and commercial clients optimize operations and drive their business forward. Through our five business lines – Liquidity Management Services, Payments, Trade & Working Capital Solutions, Investor Services and Issuer Services - we provide cash management, payments/receivables solutions, working capital solutions, post-trade securities services and issuer services across Citi’s global network.
The Opportunity
We are seeking a Director – AI & Agentic Solutions, Liquidity Management to lead the next phase of AI Strategy & Transformation across Citi’s Liquidity Management business. This is a unique opportunity for a senior professional who combines deep expertise in liquidity products and solutions with proven experience developing and deploying Generative AI and agentic AI capabilities. The successful candidate will serve as a strategic bridge between Liquidity Management, Treasury, Product, Technology, Data & AI, Operations, Risk and senior business leadership. The role will identify high-value opportunities, define the AI strategy, and lead the development of production-ready solutions that materially improve how liquidity products are designed, managed, sold and delivered. This is not a traditional AI engineering role. We are looking for a leader who understands the economics, products and workflows of liquidity management and can apply emerging AI technologies to solve complex banking problems. What Makes This Role Distinct Unlike a platform or engineering-focused AI role, this position is defined by: Deep ownership of a Liquidity Management business line's AI agenda. Direct client co-creation and external engagement to validate and shape AI solutions A mandate to drive commercial outcomes — revenue, cost savings, and competitive differentiation — not just technology delivery Leading a matrixed, global product team across multiple regions, functions, and regulatory environments Key Responsibilities: AI Strategy & Commercial Ownership Own and execute the AI and Agentic AI strategy for Liquidity Management. Establish a multi-year roadmap covering Generative AI, agentic AI, advanced analytics and intelligent automation. Identify and prioritize high-value opportunities based on business impact, feasibility, scalability, risk and client value. Lead initiatives from business problem identification through AI design, proof of concept, production deployment and adoption. Advise senior Liquidity and Treasury leadership on emerging AI capabilities and their potential business impact. Establish scalable AI patterns, frameworks and capabilities that can be deployed across multiple liquidity products and processes Liquidity Product & Business Expertise — REQUIRED The candidate must possess hands-on experience with bank liquidity products and solutions. Responsibilities include: Apply deep knowledge of liquidity management to identify opportunities for AI-driven transformation. Partner with product and business leaders across: Cash management Deposits Liquidity concentration, Cash pooling, Sweeps Intraday liquidity Liquidity forecasting Working capital solutions Treasury management solutions Client liquidity optimization Identify opportunities to develop AI-enabled liquidity products and advisory capabilities. Understand client liquidity structures and translate complex client needs into AI-enabled solutions. Use AI to improve product configuration, solution design, client analysis, forecasting, pricing and relationship-manager effectiveness. Agentic AI Development Lead the design and implementation of enterprise-grade AI agents and multi-agent workflows. Identify processes where agents can safely perform multi-step tasks rather than simply generate information. Define appropriate levels of AI autonomy and human oversight. Partner with engineering and AI/ML teams to ensure solutions are scalable, secure and production-ready.