Manager, Product Management - Data Infrastructure for Collections Platform

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

About The Position

Capital One is seeking a Product Manager for its Operational Data Infrastructure team supporting the Collections Platform. The role bridges raw data and high-performance, business-ready datasets to increase speed to market. The Product Manager partners with Enterprise technology teams, business stakeholders, and Risk Management to maximize data value, accelerate speed-to-insight for Data Analyst and Business Analyst communities, and enable machine learning models at scale. The position leads the lifecycle of scalable data products and supports data strategy, enterprise standards, quality and reliability, self-service analytics, and strategic experimentation. The role is designated hybrid, with on-site attendance required according to Capital One’s hybrid policy at the employee’s designated office location. The successful candidate is expected to demonstrate proficiency in 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 with the degree expected on or before the scheduled start date, a bachelor's or master's degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field, Business, or Marketing; alternatively, a bachelor's degree in any field and at least 3 years of Product Management experience.
  • Ability to partner with enterprise technology teams, business stakeholders, and Risk Management.
  • Ability to write clear requirements and guide agile teams through testing and release cycles.

Nice To Haves

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

Responsibilities

  • Partner with Enterprise platforms to evaluate enterprise tools and standards, architectural patterns, and data sources to scale core data infrastructure.
  • Collaborate with business partners to identify high-leverage capability gaps and engage process teams to ensure end-to-end operational compliance.
  • Drive feature delivery from intent to production by writing clear requirements and guiding agile teams through test and release cycles.
  • Lead the end-to-end lifecycle of scalable data products, driving data consumption for downstream analytics and machine learning models.
  • Improve data quality, uptime, and scalability to enterprise standards by establishing robust monitoring, analytical, and audit framework use cases.
  • Optimize data visualizations, usability, analytical depth, and query performance to empower Data Analyst and Business Analyst communities with faster time-to-insight.
  • Support strategic testing initiatives using advanced methodologies to drive continual strategy improvement.
  • Apply Capital One’s Product Framework across customer-centered product solutions, business outcomes, technology, problem solving, and cross-functional leadership.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by full-time or part-time status, exempt or non-exempt status, and management level.
  • Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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