Manager, Product Management – Customer Resiliency Data Platform (US Card)

Capital One • McLean, VA

6d • $164,800 - $188,100 • Hybrid

About The Position

Capital One is seeking a Product Manager for its Analytical Data Infrastructure team within Customer Resiliency. The role bridges raw data and high-performance, business-ready datasets, increasing speed to market and maximizing data value in partnership with Enterprise technology teams, business stakeholders, and Risk Management. It accelerates time-to-insight for Data Analyst and Business Analyst communities and enables machine learning models at scale.

The position involves leading the lifecycle of scalable data products and improving data infrastructure, quality, reliability, and self-service capabilities. The manager is expected to demonstrate Capital One’s Product Framework: human-centered, business-focused, technology-driven, integrated problem solving, and transformational leadership. This role is hybrid, with required on-site presence according to Capital One’s hybrid policy at the designated office location.

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 at least 3 years of Product Management experience.
• Demonstrates proficiency in human-centered product thinking, business-focused execution, technology-driven solutions, integrated problem solving, and transformational leadership.

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.
• 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 enable faster time-to-insight for the Data Analyst and Business Analyst community.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager