Securities Finance Product Manager – Data & AI Solutions (Senior Vice President)
Citigroup
- Location
- London United Kingdom
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 25, 2026
Skills
About this role
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Are you a visionary problem solver with a passion for creative thinking and deep technical expertise in data and AI? Do you thrive in a dynamic, collaborative environment, working at the forefront of innovation? Citi is seeking an exceptional, hands-on Product Manager to lead the charge in developing and launching transformative Generative AI solutions within our Securities Finance business within Investor Services. This is a unique role operating at the intersection of product, operations, and technology. Reporting to the Head of Data & AI Product, you will be a key partner in accelerating our ambitious data analytics, commercialization, and AI roadmap. You will not only define the "what" but also drive and engage in the "how," accelerating execution across Trading, Sales, Product, Technology, and Operations partners. Your primary mandate will be to identify and commercialize strategic opportunities for AI to solve critical business problems across Securities Finance, ensuring seamless integration with existing enterprise platforms and adherence to the highest standards of policy and governance. What you’ll do Partner and Deliver on the AI Strategy: Identify strategic opportunities for Data & AI to solve critical business problems across Securities Finance. Operate with a commercial mindset to prioritize the most impactful use-cases, define the path to commercialization, and deliver against a defined ROI. Problem Solving & Innovation: Act as a relentless problem solver, deeply understanding business challenges within the capital markets landscape and translating them into innovative, AI-powered product solutions. Champion creative thinking and explore uncharted territories to accelerate delivery and create differentiation. Discovery & Co-creation: Lead intensive discovery phases, collaborating closely with internal business clients, product specialists, operations, and engineering teams to uncover needs, define use cases, and co-create rapid prototypes. Facilitate workshops and design sprints to refine concepts and gather feedback. Deep Technical Leadership: Possess a comprehensive understanding of the underlying AI models, scalable infrastructure, data pipelines, and deployment architectures. Work with engineers and architects to guide technical design decisions, ensuring the scalability, performance, and architectural integrity of Generative AI solutions in a regulated financial environment. Industrialize & Scale Solutions: Oversee the end-to-end lifecycle of AI solutions, from initial prototype to industrial-grade product. Define clear paths to production, ensuring solutions meet enterprise-grade requirements for security, compliance, reliability, and maintainability. Cross-functional Collaboration: Build strong relationships and foster seamless collaboration with diverse teams including Data Scientists, AI Researchers, Software Engineers, and Operations within or supporting Investor Services. Market & Technology Acumen: Stay abreast of the rapidly evolving Generative AI landscape, including foundation models, tooling, ethical considerations, and competitive offerings. Translate complex technical concepts into clear business value propositions with a specific focus on their application within Securities Finance. Stakeholder Management: Effectively communicate product roadmaps, progress, and impact to executive leadership, business stakeholders, and engineering teams. Manage expectations and navigate trade-offs with transparency What we’ll need from you Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. Professional Experience: Relevant experience across product development, data and AI, with a significant