Senior Vice President, AI Product Management

Job Description: Senior Vice President, AI Product Management

About The Role We are seeking an innovative and visionary

SVP, AI Product Management to lead a strategic portfolio of AI products at the heart of our company's AI transformation. This senior leadership role is responsible for defining, building, and scaling a next-generation Agentic AI Platform as a core component of this portfolio. The objective is to create a foundational platform designed to significantly enhance how our business operates by automating and augmenting complex workflows in areas like reporting, business analysis, and data science. This is a unique opportunity to shape the future of applied AI within a complex, global organization by delivering transformative, enterprise-grade AI systems that drive measurable business impact.

Key Responsibilities Platform Vision & Strategic Leadership

• Define and own the comprehensive product vision and multi-year strategy for a portfolio of AI products, centered around a core Agentic AI Platform.
• Develop and maintain a clear product roadmap that balances foundational platform capabilities with the delivery of specific agent-based solutions.
• Conduct deep analysis of internal business units to identify high-impact use cases and build a pipeline of future enterprise adopters for the platform.
• Create and curate core platform assets—including AI Playbooks, reusable agent templates, architectural design patterns, and central knowledge repository—to accelerate adoption and ensure consistent application of best practices

Product Execution & AI Service Delivery

• Lead the end-to-end product lifecycle, from deep user research and problem framing with business stakeholders to defining detailed requirements for the platform and its agents.
• Partner intimately with AI Engineering leadership to define the platform's technical architecture, ensuring it is scalable, reliable, and secure for a highly regulated environment.
• Establish a framework for the rapid development, testing, and deployment of new AI agents at scale, enabling the platform to quickly address new business needs.
• Define and own the platform's KPIs, focusing on user adoption, productivity gains, task automation rates, and overall business value delivered.

Adoption, Governance & Cross-Functional Leadership

• Champion the adoption of the platform and its AI-led processes, acting as the primary evangelist to senior leadership across the enterprise.
• Develop and execute a robust go-to-market strategy for onboarding new teams and business units.
• Partner with senior leaders in Risk, Compliance ,Technology to establish a scalable governance framework for the platform, addressing ethics, bias, and fairness from day one.
• Drive accountability for adoption and productivity goals, using data to measure impact and inform the future direction of the platform.

Qualifications Required Qualifications

• 15+ years of professional experience, with at least 8+ years in product management focused on building and launching enterprise-level platforms, data products, or AI/ML solutions.
• A proven track record of defining and launching successful 0-to-1 platforms and scaling them within a large, complex enterprise.
• Deep expertise in Agentic AI concepts, multi-agent systems, Retrieval-Augmented Generation (RAG), and the underlying LLM technologies required to build sophisticated agents.
• Exceptional ability to navigate a large organization and influence senior stakeholders across different business units and control functions (Risk, Legal, Compliance).
• Strong understanding of the unique challenges of building, deploying, and governing AI in a highly regulated industry.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field.

Preferred Qualifications

• Master's degree or PhD in a relevant quantitative discipline.
• Direct experience building a AI platform or a similar system for creating and managing AI agents at scale.
• Background in enterprise reporting, business intelligence, data analytics, or data science platforms.
• Experience with cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).
• Experience in the financial services industry, particularly in Operations, Risk, or Finance domains.
• AI-related publications or demonstrated thought leadership in the industry.

Growth & Impact

• Lead a flagship, cutting-edge AI platform initiative with significant visibility and enterprise-wide impact.
• Shape the future of AI adoption and service delivery for a global financial services leader.
• Work directly with executive leadership on strategic product and technology decisions.
• A clear path to future senior leadership roles within the AI and Product organizations. ------------------------------------------------------

Job Family Group: Decision Management ------------------------------------------------------

Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------

Time Type: Full time ------------------------------------------------------

Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.