Sr. Associate, Product Manager, Audit Insights & Innovation, AI and Data Engineering

Capital One Capital One · Banking · McLean, VA +1

Product Manager for Audit Insights & Innovation team, focusing on AI and Data Engineering. The role involves modernizing internal audit workflows by building products that surface critical, real-time insights for auditors using generative AI, data management, and machine learning. The PM will own the vision and roadmap for AI-assisted auditing experiences within the Audit Compass application, bridging AI capabilities with enterprise-scale design in a regulated environment. Requires experience with complex data pipelines and building foundational AI capabilities.

What you'd actually do

  1. You will own the vision and roadmap of your experience within the Audit Compass application, driving immediate value to auditors.
  2. As a Product Manager, you will bridge the gap between generative AI capabilities, enterprise-scale design, and specialized domain expertise, navigating a complex regulated landscape to deliver high-impact solutions.
  3. You will join a cross-functional team dedicated to modernizing internal audit workflows, by working with full-stack engineering teams and dedicated UI/UX designers.
  4. Our team is building products that focus on surfacing critical, real-time insights for auditors throughout the audit lifecycle.
  5. To be successful in this role, you will have experience with understanding and building complex data pipelines and build foundational AI capabilities for all of audit engineering.

Skills

Required

  • product management experience
  • understanding and building complex data pipelines
  • building foundational AI capabilities
  • translating business strategy or analysis into consumer facing digital products
  • working on core product platforms powering digital experiences
  • working with cross functional teams as a product owner in an agile development process

Nice to have

  • experience with generative AI capabilities
  • experience with data management
  • experience with machine learning

What the JD emphasized

  • complex regulated landscape
  • foundational AI capabilities

Other signals

  • building foundational AI capabilities
  • AI-assisted auditing experiences
  • generative AI capabilities
  • data management
  • machine learning