AI Product Manager - Business Line Execution, Senior Vice President

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. Citi is building the next generation of AI-powered financial products across its global Services business.

About the Role

We are seeking experienced SVP-level AI Product Managers to drive the execution of the AI product agenda within a specific business line — Payments, Investor Services, Issuer Services, or Trade. This role operates at the heart of the business, working at the intersection of commercial product management, client engagement, and AI delivery. You will manage significant components of the Global AI Product roadmap for your business line — contributing to strategic direction, prioritizing use cases, and driving disciplined execution from concept through to commercialization. You will be expected to work with significant autonomy while maintaining close alignment with the Director-level AI leadership above you.

What Makes This Role Distinct

This is a delivery-focused, commercially-accountable, client-engaged role. Unlike the Director-level position which is primarily strategy-setting, this role is defined by:

• Hands-on execution ownership — you are accountable for delivery plans, milestones, and outcomes, not just strategy
• Direct, day-to-day client engagement — you are regularly in the room with enterprise clients validating solutions and co-creating products
• Use case ownership — you manage specific AI use cases end-to-end, from business case through to production and commercial launch
• Commercial discipline — you apply rigorous ROI-thinking to every investment decision and track actuals against projections

Responsibilities

• AI Product Roadmap & Execution
  • Own and drive significant workstreams within the Global AI Product roadmap for your business line — translating strategic priorities into detailed delivery plans, managing milestones, and driving cross-functional execution from concept through commercialization
  • Prioritize the AI use case backlog based on ROI, strategic fit, and client demand — maintaining a clear, well-groomed product backlog that aligns business objectives with engineering execution
  • Balance innovation ambition with business pragmatism and P&L accountability
• Client-Facing AI Products
  • Identify, scope, and drive the delivery of AI-powered capabilities that create differentiated value for clients — such as intelligent payment orchestration, predictive receivables management, anomaly detection, and personalized client insights
  • Engage directly and regularly with enterprise clients to validate solutions, gather requirements, manage expectations, and co-create products
  • Define clear go-to-market plans for AI products, managing the full lifecycle from initial prototype to commercial launch
• Commercial Discipline & Business Case Management
  • Develop business cases and ROI analyses for AI initiatives — modelling cost and revenue scenarios, tracking actuals against projections, and presenting investment recommendations to senior stakeholders
  • Evaluate all AI opportunities through a rigorous commercial lens, ensuring every initiative drives measurable financial outcomes
  • Contribute to P&L reporting and commercial performance tracking for your AI product portfolio
• Internal AI Adoption
  • Drive the structured identification and deployment of AI tools that enhance internal operations and team productivity across your business line
  • Champion responsible AI adoption — acting as the primary internal advocate for AI literacy and culture change
• Responsible AI & Enterprise Controls
  • Ensure all AI capabilities are built in line with Citi's enterprise risk standards — coordinating model risk governance, data lineage documentation, explainability requirements, and regulatory compliance controls
  • Proactively identify and escalate ethical AI considerations to senior stakeholders
• AI Risk Co-ordination
  • Establish and manage a consolidated AI risk framework for TWCS — coordinating across Model Risk Management, Operational Risk, Technology, and the Line of Business to maintain a live, actionable AI risk register
• AI Testing & Performance
  • Define and own the AI testing strategy across the full model lifecycle — setting performance benchmarks, robustness protocols, and continuous improvement feedback loops tailored to trade finance use cases
• AI Governance & Implementation
  • Design and implement a fit-for-purpose AI Governance framework — embedding model lifecycle policies, committee structures, and governance controls into Agile delivery workflows, aligned to Citi enterprise standards and emerging regulatory mandates
• Explainability & Audit Readiness
  • Embed Explainable AI (XAI) solutions across TWCS AI use cases and ensure all models are perpetually audit-ready — maintaining comprehensive model documentation, data lineage artefacts, and regulatory compliance controls
• Market Intelligence & Program Management
  • Conduct structured market research to identify AI-driven opportunities — translating external signals, client needs, and competitive dynamics into actionable product AI programs
• AI Use Case Development
  • Define, structure, and prioritize AI use cases across the product and sub product portfolio — ensuring each use case is grounded in client value, commercial viability, technical feasibility, and risk acceptability
• Post Ops Process Design
  • Design and drive how operation process changes after AI is deployed
• AI Product Ecosystem
  • Build and manage the AI product ecosystem — cultivating partnerships with technology providers, internal platforms, and external innovators to create a coherent, interoperable foundation for AI-powered trade finance products
• Stakeholder Management & Global Delivery
  • Cultivate effective working relationships across Sales, Technology, Operations, Finance, Compliance, Risk, and Legal — facilitating alignment across competing priorities
  • Manage the geographic rollout of AI capabilities across multiple markets, adapting solutions to local regulatory requirements while maintaining global design consistency

Requirements

• 8+ years of product management experience, including demonstrated delivery of large-scale, technology-led products
• Proven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTech
• Strong commercial acumen — ability to build business cases, contribute to P&L analysis, and drive ROI-driven product investment decisions
• 3+ years of direct or indirect external client-facing experience; comfortable co-creating and validating products with enterprise clients
• Deep understanding of AI concepts, model risk management, responsible AI frameworks, and enterprise governance requirements
• Exceptional stakeholder management skills and ability to influence without authority in a matrixed global organization
• Background in a relevant financial services domain (Payments, Transaction Banking, Investor Services, or Capital Markets)
• Outstanding verbal and written communication skills across executive, technical, and client audiences

Preferred Qualifications

• Experience working within or alongside compliance, legal, or risk functions on regulated AI deployments
• Familiarity with Generative AI tools and their practical application to enterprise workflows
• Experience with agile delivery methodologies and cross-functional product team leadership

Success Measures

• Use case delivery velocity — number of AI products moved from concept to commercialization
• Commercial outcomes — revenue generated and cost savings achieved through AI initiatives
• Client satisfaction and adoption rates for AI-powered solutions
• Quality and accuracy of business case modelling and ROI tracking
• Strength of internal AI adoption and productivity improvements

Benefits

• Medical, dental & vision coverage
• 401(k) plan
• Life, accident, and disability insurance
• Wellness programs
• Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
• Discretionary and formulaic incentive and retention awards

Pay

Full-time salary range: $176,720.00 - $265,080.00

Schedule

Full time

Location

New York, New York, United States