At a Glance
- Tasks: Lead the development of AI-powered financial products and engage directly with clients.
- Company: Join Citi, a global leader in financial services with a commitment to innovation.
- Benefits: Enjoy competitive salary, generous holiday allowance, and hybrid working options.
- Other info: Be part of a diverse team that values your unique contributions.
- Why this job: Make a real impact in the AI space while driving client-focused solutions.
- Qualifications: Experience in product management and AI/ML product delivery is essential.
The predicted salary is between 78750 - 96250 £ per year.
Citi is building the next generation of AI-powered financial products across its global Services business. We are seeking experienced SVP-level AI Product Managers to drive the execution of the AI product agenda within a specific business line — Payments, Investor Services, Issuer Services, or Trade.
This role operates at the heart of the business, working at the intersection of commercial product management, client engagement, and AI delivery. You will manage significant components of the Global AI Product roadmap for your business line — contributing to strategic direction, prioritising use cases, and driving disciplined execution from concept through to commercialisation. You will be expected to work with significant autonomy while maintaining close alignment with the Director-level AI leadership above you.
What Makes This Role Distinct
- Hands-on execution ownership — you are accountable for delivery plans, milestones, and outcomes, not just strategy
- Direct, day-to-day client engagement — you are regularly in the room with enterprise clients validating solutions and co-creating products
- Use case ownership — you manage specific AI use cases end-to-end, from business case through to production and commercial launch
- Commercial discipline — you apply rigorous ROI-thinking to every investment decision and track actuals against projections
AI Risk Co-ordination
Establish and manage a consolidated AI risk framework for TWCS — coordinating across Model Risk Management, Operational Risk, Technology, and the Line of Business to maintain a live, actionable AI risk register.
AI Testing & Performance
Define and own the AI testing strategy across the full model lifecycle — setting performance benchmarks, robustness protocols, and continuous improvement feedback loops tailored to trade finance use cases.
AI Governance & Implementation
Design and implement a fit-for-purpose AI Governance framework — embedding model lifecycle policies, committee structures, and governance controls into Agile delivery workflows, aligned to Citi enterprise standards and emerging regulatory mandates.
Explainability & Audit Readiness
Embed Explainable AI (XAI) solutions across TWCS AI use cases and ensure all models are perpetually audit-ready — maintaining comprehensive model documentation, data lineage artefacts, and regulatory compliance controls.
Market Intelligence & Programme Management
Conduct structured market research to identify AI-driven opportunities — translating external signals, client needs, and competitive dynamics into actionable product AI programmes.
AI Use Case Development
Define, structure, and prioritise AI use cases across the product and sub product portfolio — ensuring each use case is grounded in client value, commercial viability, technical feasibility, and risk acceptability.
Post Ops process design
Drive how operation process changes after AI is deployed.
AI Product Ecosystem
Build and manage the AI product ecosystem — cultivating partnerships with technology providers, internal platforms, and external innovators to create a coherent, interoperable foundation for AI-powered trade finance products.
What you'll do
- Own and drive significant workstreams within the Global AI Product roadmap for your business line — translating strategic priorities into detailed delivery plans, managing milestones, and driving cross-functional execution from concept through commercialisation
- Prioritise the AI use case backlog based on ROI, strategic fit, and client demand — maintaining a clear, well-groomed product backlog that aligns business objectives with engineering execution
- Balance innovation ambition with business pragmatism and P&L accountability
Client-Facing AI Products
- Identify, scope, and drive the delivery of AI-powered capabilities that create differentiated value for clients — such as intelligent payment orchestration, predictive receivables management, anomaly detection, and personalised client insights
- Engage directly and regularly with enterprise clients to validate solutions, gather requirements, manage expectations, and co-create products
- Define clear go-to-market plans for AI products, managing the full lifecycle from initial prototype to commercial launch
Commercial Discipline & Business Case Management
- Develop business cases and ROI analyses for AI initiatives — modelling cost and revenue scenarios, tracking actuals against projections, and presenting investment recommendations to senior stakeholders
- Evaluate all AI opportunities through a rigorous commercial lens, ensuring every initiative drives measurable financial outcomes
- Contribute to P&L reporting and commercial performance tracking for your AI product portfolio
Internal AI Adoption
Drive the structured identification and deployment of AI tools that enhance internal operations and team productivity across your business line. Champion responsible AI adoption — acting as the primary internal advocate for AI literacy and culture change.
Responsible AI & Enterprise Controls
Ensure all AI capabilities are built in line with Citi's enterprise risk standards — coordinating model risk governance, data lineage documentation, explainability requirements, and regulatory compliance controls. Proactively identify and escalate ethical AI considerations to senior stakeholders.
Stakeholder Management & Global Delivery
Cultivate effective working relationships across Sales, Technology, Operations, Finance, Compliance, Risk, and Legal — facilitating alignment across competing priorities. Manage the geographic rollout of AI capabilities across multiple markets, adapting solutions to local regulatory requirements while maintaining global design consistency.
What we'll need from you
- Relevant product management experience, including demonstrated delivery of large-scale, technology-led products
- Proven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTech
- Strong commercial acumen — ability to build business cases, contribute to P&L analysis, and drive ROI-driven product investment decisions
- 3+ years of direct or indirect external client-facing experience; comfortable co-creating and validating products with enterprise clients
- Deep understanding of AI concepts, model risk management, responsible AI frameworks, and enterprise governance requirements
- Exceptional stakeholder management skills and ability to influence without authority in a matrixed global organisation
- Background in a relevant financial services domain (Payments, Transaction Banking, Investor Services, or Capital Markets)
- Outstanding verbal and written communication skills across executive, technical, and client audiences
Preferred
- Experience working within or alongside compliance, legal, or risk functions on regulated AI deployments
- Familiarity with Generative AI tools and their practical application to enterprise workflows
- Experience with agile delivery methodologies and cross-functional product team leadership
Success Measures
- Use case delivery velocity — number of AI products moved from concept to commercialisation
- Commercial outcomes — revenue generated and cost savings achieved through AI initiatives
- Client satisfaction and adoption rates for AI-powered solutions
- Quality and accuracy of business case modelling and ROI tracking
- Strength of internal AI adoption and productivity improvements
What we can offer you
We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
- A discretional annual performance related bonus
- Private medical insurance packages to suit your personal circumstances
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- Access to an array of learning and development resources
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
AI Product Manager - Business Line Execution (Senior Vice President) in London employer: Citigroup
Citi is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Sales Director, you will benefit from extensive training and mentorship opportunities, fostering your professional growth while working alongside industry leaders in FX Sales. With a strong commitment to integrity and inclusivity, Citi provides a supportive culture that empowers employees to excel and drive meaningful results for clients.
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Manager - Business Line Execution (Senior Vice President) in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Citigroup!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Citigroup would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Citigroup through your school's career services!
We think you need these skills to ace AI Product Manager - Business Line Execution (Senior Vice President) in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like AI Product Manager - Business Line Execution (Senior Vice President), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager - Business Line Execution (Senior Vice President) position at Citigroup. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Citigroup
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
