Senior Technology Product Manager, Finance Technology (AI/ML & Data Strategy), SVP

Citi operates through five major business divisions — Services, Markets, Banking and International, Wealth, and U.S. Personal Banking. Each of these generates complex financial data and transactions that require robust technology infrastructure. Technology and Business Enablement is the division that cuts across all of them, providing shared platforms, controls, and transformation programs. Finance Technology lives within T&BE, making it a truly enterprise-wide function, delivering technology solutions for Finance, Accounting, Regulatory Reporting, and Treasury across all Citi businesses globally.

Responsibilities:

• The Finance Technology Product Management Analyst is a strategic professional who owns defining our overarching product strategy, spearheading business engagement and transformation and contributing to directional strategy for AI, integration and automation capabilities.
• Define Product vision, strategy and roadmap, develop solution proposals, business cases, solution design and tactics in engagement with Business and Technology stakeholders.
• Lead business process redesign, map existing and to-be processes for operational optimization, digital transformation initiatives.
• Drive cross-functional collaboration and effective communication with business and technology partners, to guide, influence and convince others and lay the direction for Product development.
• Ownership of the Product backlog and roadmap, strategy, outlining the vision and direction for the product offering over time, to ensure users derive the most value possible from the product.
• Participate in day-to-day product management for core products such as product delivery, client experience, and client communication strategies.
• Lead a culture of innovation, “test and learn” experiments to create platform products that increase customer value.
• Define and measure the KPIs for a platform product.
• Make trade-off decisions on multiple platform products in a portfolio.
• Work in an agile environment, continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks.
• Manage cross-functional dependencies, regulatory and risk alignment, user adoption and change management.
• Work with Data: Data analysis to document business requirements at the right level, draw meaningful insights, and visualize conceptual and logical data models and flows.
• Stay ahead of AI, bringing new ideas back to the team and actively applying what they're learning to the products we build.
• Appropriately assess risk and impact when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets.
• Provide evaluative judgment based on analysis of information in complicated and unique situations.
• Communicate clearly and proactively across three continents.
• Keep safety non-negotiable, building AI systems inside a global bank with security, compliance, and AI safety in mind.

Must-have skills:

• Demonstrated experience in Product Management and/or Product Development discipline.
• Strong understanding of Finance processes and data flows, record to report, Accounting, reconciliation, regulatory reporting and financial close process.
• Strong working knowledge of Agentic AI, ML, LLM, A2A concepts, Intelligent rule engine and their practical applications in business processes across financial services.
• Solid Experience with Data pipelines/ integrations and consumption patterns, Modelling, Data Lineage, Quality & Governance.

Good-to-have:

• At least familiarity and conceptual understanding of SQL/ Python/ APIs, Data Analytics.
• Ability to represent customer needs to guide product development features, functionality, and overall competitiveness.
• Ability to critically assess where AI adds value vs. where traditional rule-based automation/process improvements are more effective.
• Proven ability to translate ambiguous business problems into structured AI and automation opportunities.
• Ability to apply ingenuity, creativity and analytical thinking to problem analysis and resolution in complicated and/or novel situations.
• Build consensus and communicate the value proposition to key partners and stakeholders across the organization.
• Highly self-motivated, effective communication and decision management skills, and has the willingness to learn and adapt in an agile environment.