AI Product & Innovation, Trade & Working Capital Solutions - Vice President
Citigroup
- Location
- New York New York United States
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 13, 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. Shape the future of AI in global trade finance — this is a senior product and innovation leadership role within Citi's Trade & Working Capital Solutions (TWCS) business, one of the firm's most strategically significant franchises operating across 160+ countries. In this AI Product & Innovation role, you will own the end-to-end AI innovation agenda for TWCS — from structured market intelligence and use case design through to MLOps transformation and AI ecosystem development — converting AI ambition into scalable, client-ready trade finance capabilities. This is a rare opportunity for a commercially minded, technically fluent product leader to drive measurable business impact at the intersection of AI strategy, engineering, and global trade finance.
Responsibilities
Drive the Trade Explorer initiative — a structured programme to identify, evaluate, and prioritise AI-driven opportunities across the trade finance landscape — building a dynamic opportunity pipeline and managing programme governance from discovery through to validated business cases. Define and develop AI use cases across the full TWCS product portfolio, spanning Letters of Credit automation, supply chain finance intelligence, counterparty risk scoring, and sanctions screening — producing comprehensive assessments covering client value, data requirements, commercial viability, and estimated ROI. Design and drive the MLOps transformation roadmap for TWCS AI — establishing the infrastructure, tooling, and standards that enable scalable, auditable model deployment, covering model versioning, CI/CD pipelines, feature store design, monitoring frameworks, and retraining protocols. Build and manage the TWCS AI product ecosystem — identifying and onboarding strategic technology partners, fintech innovators, cloud AI providers, and data vendors — defining integration standards and partner evaluation frameworks to ensure interoperability and scalability across the AI product landscape. Lead structured AI ideation processes across the TWCS organisation — facilitating innovation workshops, ideation sprints, and client co-creation sessions — and translate validated concepts into detailed AI solution blueprints covering use case narrative, data architecture, model design, go-to-market strategy, and delivery roadmap. Set and monitor OKRs and KPIs for TWCS AI initiatives — applying an agile, test-and-learn delivery approach to accelerate time-to-market and ensure programme milestones, quality standards, and commercial targets are consistently met. Serve as a senior advocate for the TWCS AI innovation agenda — articulating the AI product vision to business leadership, technology partners, and external stakeholders, and building a culture of structured experimentation and commercial rigour across the organisation. Required Qualifications & Skills 8 or more years of experience in product management, innovation, strategy, or technology roles, with demonstrated delivery of large-scale AI or technology-led initiatives in financial services or fintech. Proven ability to develop and deliver AI use cases — from initial concept and feasibility assessment through to production-ready solutions — in a complex, multi-stakeholder environment. Solid grasp of MLOps concepts and model lifecycle management, including the engineering infrastructure required to deploy and scale AI and ML solutions in regulated enterprise environments. Experience conducting structured market