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Manager, Product Management, Card Intelligence

Job in New York City, Richmond County, New York, USA
Listing for: Capital One
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Science Manager
  • Business
    AI Business & Operations
Job Description & How to Apply Below

Manager, Product Management

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

About the Team Are you passionate about enabling cutting-edge AI solutions to drive innovation in the financial services industry? In Card Intelligence, we're using ML and GenAI to build the future of how we engage and acquire our customers. As a product manager on our Marketing & Acquisitions team, you'll collaborate with talented data scientists and engineers to develop technical capabilities and deploy solutions to help support our customers.

You'll also work across teams to build solutions that enable seamless and scalable model development and influence strategic decisions.

What You'll Do:

  • Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of iterative software delivery.
  • Leverage customer insights to shape priorities and roadmap development while advocating for and driving alignment between stakeholders.
  • Own and prioritize three-year ML infrastructure and model delivery roadmaps that tie to business outcomes.
  • Identify points of leverage in complex problems or systems, and utilize data effectively to define success metrics.
  • Exercise balanced judgment in decisions about risks of both actions taken and not taken while innovating in a well-managed way.
  • Leverage technology and end-state architecture vision to partner with technology teams to drive comprehensive design decisions on white space technical problems.
  • Share business strategy and roadmap with Tech partners to establish context while also leading and facilitating agile ceremonies alongside Tech Lead.
  • Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing.

Capital One Product Framework

In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product Management:

  • Human Centered
    - Obsesses about internal and external customer needs to reimagine and innovate product solutions
  • Business Focused
    - Delivers game-changing outcomes by focusing on leverage and execution excellence
  • Technology Driven
    - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
  • Integrated Problem Solving
    - Identifies and resolves complex problems to deliver outcomes while mitigating product risks
  • Transformational Leadership
    - Leads cross functional teams to solve customer problems and drive organizational alignment

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's or Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing
  • OR
    • Bachelor's degree in any field and at least 3 years of Product Management experience

Preferred Qualifications:

  • Experience translating business strategy and analysis into consumer facing digital products
  • Prior experience with data engineering problems and platforms, machine learning infrastructure, MLOps, software engineering
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