Sr. Product Manager - Finance Data

Capital One•McLean, VA

About The Position

Capital One Product Management focuses on reimagining the status quo, finding value-creation opportunities, and driving innovative, sustainable customer experiences through technology. The Finance Data North Star is a horizontal product team responsible for modernizing and evolving the Finance data ecosystem. It builds data capabilities that enable Finance to produce, consume, and manage data throughout the data lifecycle, supporting artificial intelligence and financial reporting for lines of business, regulators, and investors. As a Senior Manager in the Finance Data CoE, you will own a function or data product end to end. You will establish its operating model, define its deliverables, build repeatable processes, and address real—often retroactive—gaps. The work spans the enterprise and requires collaboration with teams outside your direct management, without relying on formal authority. Success requires setting priorities, uncovering internal requirements, and aligning groups with different goals. The role is expected to demonstrate proficiency in five areas of Capital One’s Product Framework: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, and Transformational Leadership.

Requirements

  • Currently has, or is in the process of obtaining, a bachelor's or master's degree in a quantitative field, Business, or Marketing, with the required degree obtained on or before the scheduled start date; alternatively, a bachelor's degree in any field and four years of Product Management experience.
  • A quantitative field may include Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems, or a related field.

Nice To Haves

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

Responsibilities

  • Own a Finance data function or data product end to end.
  • Build an operating model and repeatable processes for the function or product.
  • Define what the function delivers and apply the process to real, including retroactive, gaps.
  • Establish a single point of contact between the team and an upstream data-providing group, where applicable.
  • Guide new data products through the internal approval process to formal sign-off, where applicable.
  • Set priorities and identify internal requirements that shape product needs.
  • Align enterprise teams with different goals, including teams outside the role’s direct management.
  • Drive modernization and evolution of the Finance data ecosystem and build capabilities for managing data throughout its lifecycle.

Benefits

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