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.
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Job Family Group:
Decision Management
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Job Family:
Specialized Analytics (Data Science/Computational Statistics)
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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