Fund Services Transformation - Product Manager, AI Solutions Senior Vice President - Citi - #2122643
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Job Overview
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
Citi's Fund Services business is in the midst of a generational transformation - moving from fragmented, manual operating models to an AI-native platform that will define how fund services are delivered globally. We are building the next generation of capabilities powered by Artificial Intelligence, and we need an exceptional product leader to help us get there faster.
This is a unique opportunity to sit at the center of that transformation - working across the Fund Services Transformation team to bring AI capabilities from concept to production, at pace, in one of the most complex and consequential domains in financial services.
We are looking for a hands-on, technically fluent Product Manager who can move with equal confidence between a business stakeholder describing an operational problem and an engineering team designing the solution. This is not a traditional product management role - it sits at the intersection of product, technology, and operational transformation, working in small, agile teams to take AI use cases from rapid prototype to industrial-grade production capability.
You will not only define the "what" - you will drive and engage in the "how." You will partner with the Transformation team and our broader AI program to deliver capabilities that directly improve how Citi services its clients across the full Fund Services lifecycle - and build a platform that others cannot easily replicate.
What you'll do
- Drive the Fund Services AI Agenda Identify and prioritize strategic opportunities for AI across the full Fund Services lifecycle - spanning client onboarding and fund setup, fund accounting and NAV production, ETF operations, middle office, transfer agency, corporate actions, trustee and fiduciary services, and client reporting. Operate with a commercial mindset, assessing ROI and business impact to sequence the most valuable use cases against available investment.
- Rapid Prototyping and Discovery Lead intensive discovery phases with Fund Services operations, product, and engineering teams to uncover problems, define use cases, and co-create working prototypes rapidly. Facilitate design sprints and workshops that compress the time from problem identification to something real that a business stakeholder can evaluate and respond to. Show, don't tell.
- Deep Technical Leadership Bring sufficient engineering depth to guide technical design decisions - understanding the underlying AI models, data pipelines, deployment architectures, and integration patterns required to deliver AI solutions in a regulated financial environment. Work alongside engineers and architects on AI model selection, scalable infrastructure, and the path from prototype to production.
- Industrialize and Scale Own the end-to-end lifecycle of AI solutions - from initial prototype through to enterprise-grade production. Define clear paths to production that meet Citi's requirements for security, compliance, reliability, and maintainability. Maximiser the value of Citi's existing technology investments - spanning core Fund Services platforms, accounting engines, enterprise data infrastructure, operational tooling, and the full suite of approved AI platforms and capabilities available across the organization.
- Partner with the Transformation Team Work closely with the Transformation team - operating as the bridge between the AI program and the broader transformation agenda. Ensure AI capabilities are embedded into transformation workstreams rather than delivered as isolated point solutions, and that every AI investment compounds the value of the platform being built.
- Stakeholder Engagement and Communication Communicate product roadmaps, progress, and impact clearly to senior leadership, Fund Services business stakeholders, and engineering teams. Navigate trade-offs with transparency and build confidence in both the plan and the pace of delivery.
- Stay Ahead of the Curve Maintain a current and deep understanding of the evolving Generative AI and Agentic AI landscape - frontier models, AI patterns, prompt engineering, fine-tuning, RAG architectures, and multi-agent orchestration. Translate complex technical concepts into clear business value propositions specific to Fund Services operations and clients.
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