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AI Product Strategy & Agentic Solutions, Liquidity Management - Director

Job in New York, New York County, New York, 10261, USA
Listing for: Citigroup Inc.
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 170000 - 300000 USD Yearly USD 170000.00 300000.00 YEAR
Job Description & How to Apply Below

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…

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