Senior Vice President, AI Product Manager - Business Line Execution

in Dublin Ireland. Job Description\n Citi is building the next generation of AI-powered financial products across its global Services business. \n 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. \n What Makes This Role Distinct:\n This is a delivery-focused, commercially accountable, client-engaged role.

\n 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\n \n What you’ll do:\n AI Product Roadmap & Execution\n \n 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\n 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\n Balance innovation ambition with business pragmatism and P &L accountability\n \n Client-Facing AI Products\n \n 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\n Engage directly and regularly with enterprise clients to validate solutions, gather

requirements, manage expectations, and co-create products\n Define clear go-to-market plans for AI products, managing the full lifecycle from initial prototype to commercial launch\n \n Commercial Discipline & Business Case Management\n \n 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\n Evaluate all AI opportunities through a rigorous commercial lens, ensuring every initiative drives measurable financial outcomes\n Contribute to P &L reporting and commercial performance tracking for your AI product portfolio\n \n Internal AI Adoption\n \n Drive the structured identification and deployment of AI tools that enhance internal operations and team productivity across your business line\n Champion responsible AI adoption - acting as the primary internal advocate for AI literacy and culture change\n \n Responsible AI & Enterprise Controls\n \n 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\n Proactively identify and escalation ethical AI considerations to senior stakeholders\n \n Stakeholder Management & Global Delivery\n \n Cultivate effective working relationships across Sales, Technology, Operations, Finance, Compliance, Risk, and Legal - facilitating alignment across competing priorities\n Manage the geographic rollout of AI capabilities across multiple markets, adapting solutions to local regulatory

requirements while maintaining global design consistency\n \n What we’ll need from you:\n \n Relevant product management experience, including demonstrated delivery of large-scale, technology-led products\n Proven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTech\n Strong commercial acumen - ability to build business cases, contribute to P &L analysis, and drive ROI-driven product investment decisions\n 3+ years of direct or indirect external client-facing experience; comfortable co-creating and validating products with enterprise clients\n Deep understanding of AI concepts, model risk management, responsible AI frameworks, and enterprise governance

requirements\n Exceptional stakeholder management skills and ability to influence without authority in a matrixed global organisation\n Background in a relevant financial services domain (Payments, Transaction Banking, Investor Services, or Capital Markets)\n Outstanding verbal and written communication skills across executive, technical, and client audiences\n \n Preferred\n \n Experience working within or alongside compliance, legal, or risk functions on regulated AI deployments\n Familiarity with Generative AI tools and their practical application to enterprise workflows\n Experience with agile delivery methodologies and cross-functional product team leadership\n \n Success Measures\n \n Use case delivery velocity - number of AI products moved from concept to commercialisation\n Commercial outcomes - revenue generated and cost savings achieved through AI initiatives\n Client satisfaction and adoption rates for AI-powered solutions\n Quality and accuracy of business case modelling and ROI tracking\n Strength of internal AI adoption and productivity improvements\n \n What we can offer you:\n By joining Citi Dublin, 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 that support you (and your family) to be well, live well and save well. Discover more here.\n Alongside these

benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. \n View Citi's EEO Policy Statement and the Know Your Rights poster. 00€ Most Relevant SkillsPlease see the

requirements listed above. Other Relevant SkillsFor complementary skills\n #J-18808-Ljbffr. Compensation: 0.000000 - 0.000000.