AI Product & Innovation, Trade & Working Capital Solutions - Vice President

Job description

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 research and competitive intelligence, with the ability to synthesise complex signals into clear, actionable business recommendations and prioritised opportunity pipelines. Commercial acumen — including the ability to build compelling business cases, evaluate AI opportunities against ROI and strategic fit, and lead prioritisation decisions with clarity and rigour. Skilled at influencing without authority and building consensus across Technology, Risk, Compliance, and Business functions in a matrixed global organisation. Excellent written and verbal communication skills, with a demonstrable ability to translate complex AI and technical concepts into clear narratives for business, executive, and client audiences. Experience leading structured ideation, design thinking, or innovation processes — including facilitating co-creation workshops with internal teams and external stakeholders. Background in trade finance, transaction banking, payments, or financial infrastructure — with a working knowledge of trade finance instruments, workflows, and client dynamics. Beneficial Skills & Qualifications Hands-on experience contributing to MLOps frameworks, AI platform architecture, or data engineering solutions in an enterprise setting. Experience building or managing technology partner ecosystems, vendor relationships, or innovation programmes within a large financial institution or fintech environment. Familiarity with generative AI tools and large language models, and their practical application to document-intensive trade finance workflows and enterprise productivity. Experience with agile delivery methodologies and OKR-based planning, including leading cross-functional product teams at scale. Exposure to AI governance, responsible AI frameworks, or model risk management practices in a regulated financial services context. What We Offer Joining Citi's Trade & Working Capital Solutions AI team means taking on a role with genuine strategic weight — with the scope, resources, and global platform to translate AI innovation