Director, Product Management- Enterprise AI

Capital One Capital One · Banking · McLean, VA +3

Director of Product Management for Enterprise AI, focusing on establishing a unified approach to AI within the Associate Experience (AX) tooling. The role involves building trust, maximizing ROI, preventing silos, and empowering associates. Key responsibilities include defining the AI roadmap, leading product execution for AI agents, driving user enablement, and ensuring cross-functional alignment. The role requires blending product execution with strategic vision for seamless, agentic experiences.

What you'd actually do

  1. Establish Strategic Vision: Own the AX AI roadmap and governance standards to manage risk, prioritize high-value use cases, and ensure our infrastructure supports the broader Enterprise AI roadmap.
  2. Lead Product Execution: Direct a team focused on integrating core services with AI agents, utilizing agentic frameworks and orchestration protocols as the baseline for our vision.
  3. Drive User Enablement: Champion AI adoption through standardized prompt/interaction patterns and comprehensive enablement programs to drive workforce proficiency.
  4. Drive Cross-Functional Alignment: Work seamlessly across lines of business (LOBs) to establish governance protocols, consolidate disparate AI initiatives, and build a cohesive ecosystem.

Skills

Required

  • Product Management
  • quantitative field degree
  • AI strategy
  • roadmap prioritization
  • governance standards
  • AI risk management

Nice to have

  • generative AI products
  • agentic frameworks
  • LLM orchestration protocols
  • managing product management teams
  • mentoring senior-level direct reports
  • liaison between Product, Engineering, Data/ML teams, and senior executive leadership
  • user enablement programs
  • standardizing interaction patterns for emerging technologies

What the JD emphasized

  • agentic frameworks
  • AI risk
  • AI strategy
  • governance standards

Other signals

  • AI/ML
  • agentic experiences
  • AI roadmap
  • governance standards
  • AI adoption
  • AI risk