About The Position

Capital One is seeking a Product Manager to join its Analytical Data Infrastructure team supporting Customer Resiliency. 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 time to insight for Data Analyst and Business Analyst communities, and enable machine learning models at scale. The position leads scalable data products from strategy through production, guiding cross-functional teams and ensuring data quality, reliability, usability, and operational compliance. It is designated hybrid, with required on-site presence under Capital One’s hybrid policy at the employee’s designated office location. Capital One expects the Product Manager to demonstrate its product framework: human-centered customer focus, business-focused outcome delivery, technology-driven innovation, integrated problem solving, and transformational leadership. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One also offers a comprehensive set of health, financial, and other benefits; eligibility varies by employment status and management level.

Requirements

  • Currently has, or is obtaining with the required degree expected on or before the scheduled start date, a bachelor's or master's degree in a quantitative field, Business, or Marketing; alternatively, a bachelor's degree in any field and at least 3 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 quantitative field.

Nice To Haves

  • Experience translating business strategy and analysis into consumer-facing digital products.
  • Experience as a Product Manager driving data infrastructure, data platforms, or data products.
  • Hands-on familiarity with modern data architectures, enterprise platforms, and machine learning integration.
  • A strong track record of translating complex analytical needs into scalable, user-friendly data solutions.
  • Excellent cross-functional skills and experience navigating technical, business, and risk stakeholders.

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 give the Data Analyst and Business Analyst communities faster time to insight.

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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