Manager, Product Management - Data Infrastructure for Collections Platform

Capital One • McLean, VA

10d • Hybrid

About The Position

Capital One is seeking a Product Manager to join its Operational Data Infrastructure team, supporting its 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 time-to-insight for Data Analyst and Business Analyst communities, and enable machine learning models at scale.

The role involves leading scalable data products through their end-to-end lifecycle, strengthening data quality and reliability, and improving self-service data capabilities. The Manager is expected to demonstrate Capital One’s Product Framework across human-centered design, business focus, technology, integrated problem solving, and transformational leadership. This is a hybrid position, subject to Capital One’s hybrid policy and required on-site presence at the designated office location.

Requirements

• Currently holds or is obtaining a Bachelor's or Master's degree in a quantitative field, Business, or Marketing, with the required degree expected by the scheduled start date; alternatively, a Bachelor's degree in any field and at least 3 years of Product Management experience.
• Quantitative fields 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.

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 testing and release cycles.
• Lead the end-to-end lifecycle of scalable data products and drive data consumption for downstream analytics and machine learning models.
• Improve data quality, uptime, and scalability to enterprise standards by establishing monitoring, analytical, and audit framework use cases.
• Optimize data visualizations, usability, analytical depth, and query performance to help Data Analyst and Business Analyst communities reach insights faster.
• Support strategic testing initiatives using advanced methodologies to drive continual strategy improvement.
• Lead cross-functional teams to solve customer problems and drive organizational alignment.

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.

What This Job Offers

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