Manager, Product Management - Data Innovation and Data Products

Capital One•McLean, VA
•$164,800 - $188,100•Hybrid

About The Position

The Manager of Product Management will help deliver Capital One Commercial Banking’s Data Innovation and AI Team data product strategy. The role works across functional lines to ensure consumers have access to clean, standardized, high-quality data for critical business processes. It helps drive adoption of data standards, govern data products, and ensure they provide a reliable foundation for intelligent applications. The team builds high-performance data products that support the foundations for artificial intelligence and machine learning in banking. The role follows Capital One’s Product Framework: human-centered product solutions attentive to customer needs; business-focused delivery of outcomes; technology-driven solutions that provide near- and long-term value; integrated problem solving that addresses complex issues and mitigates product risks; and transformational leadership that aligns cross-functional teams. This position is designated hybrid and requires adherence to Capital One’s hybrid policy for on-site presence at the designated office.

Requirements

  • Currently hold or be pursuing a bachelor’s or master’s degree in a quantitative field, including Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems, or a related quantitative field, or in Business or Marketing; the required degree must be obtained on or before the scheduled start date.
  • Alternatively, hold a bachelor’s degree in any field and have at least 3 years of Product Management experience.
  • Adhere to Capital One’s hybrid policy regarding required on-site presence at the designated office location.

Nice To Haves

  • Experience translating business strategy and analysis into consumer-facing digital products.

Responsibilities

  • Help deliver the Commercial Banking Data Innovation and AI Team’s data product strategy.
  • Collaborate across functional lines to ensure consumers can access clean, standardized, high-quality data for critical business processes.
  • Drive adoption of data standards.
  • Govern data products and ensure they provide a reliable foundation for next-generation intelligent applications.
  • Apply human-centered, business-focused, technology-driven, integrated problem-solving, and transformational-leadership principles to product management.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
  • Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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