Description
Product Management at Capital One is a dynamic field that involves reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
As part of the Global Payment Network's AI Enablement Program, you will lead the centralized use case strategy that powers how GPN builds, scales, and governs AI across the Network. You will own the end-to-end pipeline from ideation to production , identifying and prioritizing the highest-impact AI use cases across Product, Tech, and Business functions.
Your responsibilities will include:
- Developing the GPN Knowledge Base and Context Engine , a centralized, AI-accessible single source of truth consolidating code, contracts, policies, specs, and controls
- Partnering with 15+ functions across the Network to extract and validate requirements, close documentation gaps, and curate validated context graphs
- Defining and tracking adoption and ROI metrics and translating lessons learned into scalable playbooks for the broader Network
The ideal candidate will demonstrate proficiency in five key areas:
- Human Centered - Obsessing about internal and external customer needs to reimagine and innovate product solutions
- Business Focused - Delivering game-changing outcomes by focusing on leverage and execution excellence
- Technology Driven - Leveraging technology to deliver innovative and resilient solutions
- Integrated Problem Solving - Identifying and resolving complex problems to deliver outcomes while mitigating product risks
- Transformational Leadership - Leading cross-functional teams to solve customer problems and drive organizational alignment
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's or Master's Degree in a quantitative field, Business, or Marketing
- OR Bachelor's degree in any field and at least 4 years of Product Management experience
Preferred Qualifications:
- Experience translating business strategy and analysis into consumer-facing digital products
- Experience building or scaling knowledge management systems, taxonomies, or data/content platforms
- Experience with AI/ML or Generative AI product development
- Experience leading large-scale, cross-functional requirements-gathering efforts
- Experience operating in a regulated or highly governed environment
The salary ranges for this role are: McLean, VA: $200,700 - $229,100 per year New York, NY: $219,000 - $249,900 per year
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.