AI Product Strategy & Agentic Solutions, Liquidity Management - Director

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.

Establish appropriate controls around accuracy, hallucination, data access, authorization, privacy and model risk.

Business Use Cases

The Director will be expected to identify and deliver innovative use cases such as:

Liquidity Intelligence

AI agents that analyze client liquidity positions, balances and transaction activity.

Identification of liquidity opportunities, anomalies and potential client needs.

Automated liquidity insights and recommendations.

Forecasting & Decision Support

AI-enabled liquidity forecasting and scenario analysis.

Intelligent interpretation of liquidity trends and drivers.

Agentic workflows supporting liquidity planning and decision-making.

Responsible AI & Governance

Ensure all AI capabilities are built in line with Citi's enterprise risk standards — establishing model risk governance, data lineage, explainability standards, and regulatory compliance controls

Proactively partner with Legal, Risk, Compliance, and Model Risk to navigate the regulatory landscape from day one

Senior Leadership & Stakeholder Management

Serve as a trusted advisor to senior Liquidity Management and Treasury executives.

Present AI strategy, investment cases, business outcomes and risks to senior management.

Build strong partnerships across Technology, Data, AI/ML, Product, Operations, Risk, Compliance, Legal and Cybersecurity.

Lead multidisciplinary teams across business and technology organizations.

Influence enterprise priorities and secure sponsorship for strategic AI initiatives.

Drive adoption and change management across the organization.

Who We're Looking For

Required

12+ years of product management or product leadership experience, with a demonstrated track record of delivering large-scale, technology-led products

Deep, demonstrated knowledge of bank liquidity products and solutions.

Experience working directly with liquidity products, Treasury solutions, client liquidity structures or related banking businesses.

Ability to translate a complex banking problem into a practical AI solution architecture.

Demonstrated experience developing and deploying Generative AI and/or agentic AI solutions.

Demonstrated P&L ownership or direct accountability for a key business metric significantly improved through product launches

5+ years of direct or indirect external client-facing experience; comfortable co-creating and validating products with enterprise clients

Knowledge of AI governance, model risk management, responsible AI and financial-services regulatory requirements.

Exceptional stakeholder management skills — ability to build consensus, influence without authority, and operate effectively in a matrixed global organization

Outstanding communication skills; ability to translate complex AI concepts for executive, technical, and client audiences alike

Success Measures

Establish and execute a compelling Liquidity AI strategy.

Deliver production-grade agentic AI solutions.

Reduce manual processes and operational complexity.

Establish scalable AI capabilities that can be reused across products and businesses.

Increase adoption of AI across the Liquidity Management organization

Maintain strong governance, risk management and regulatory discipline.

Revenue generated and cost savings delivered through AI-powered products

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Job Family Group:

Product Management and Development ------------------------------------------------------

Job Family:

Product Management ------------------------------------------------------

Time Type:

Full time ------------------------------------------------------

Primary Location:

New York New York United States ------------------------------------------------------

Primary Location Full Time Salary Range:

• $170,000.00 - $300,000.00
• In addition to salary, Citi’s