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

Manager, Product Management – Customer Resiliency Data Platform (US Card)Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.Why Team Customer Resiliency Approximately 1 in 4 adult Americans has a Capital One or Discover Card at any moment in time. Due to the excellence in underwriting, we provide credit access deeper than any of our competitors. Over 30 million of our Card customers typically go delinquent in a given year, the largest pool of DQ customers in America. Our team cares for these customers in their most vulnerable moments, including job loss, healthcare troubles, natural disasters, and other major life events that lead to financial hardship. Managing credit risk isn't just about understanding access to credit but holistically understanding what happens when that access doesn't take the path intended.About the RoleWe are seeking a Product Manager to join our Analytical Data Infrastructure team. In this role, you will increase our speed to market by bridging the gap between raw data and high-performance, business-ready datasets. You will partner with Enterprise tech teams, business stakeholders, and Risk Management to maximize the value of our data: accelerating speed-to-insight for our Data Analyst and Business Analyst communities while enabling machine learning models at scale.Key ResponsibilitiesData Strategy & Expansion: Partner with Enterprise platforms to evaluate enterprise tools and standards, architectural patterns, and data sources to scale our core data infrastructure.Business & Risk Alignment: Collaborate with business partners to identify high-leverage capability gaps and engage with process teams to ensure end-to-end operational compliance.Partner with tech team: Drive feature delivery from intent to production by writing clear requirements and guiding agile teams through test and release cycles.Data Product Development: Lead the end-to-end lifecycle of scalable data products, driving data consumption for downstream analytics and machine learning models.Quality & Reliability: Elevate data quality, uptime, and scalability to enterprise standards by establishing robust monitoring, analytical, and audit framework use cases.Self-Service Enablement: Optimize data visualizations, usability, analytical depth, and query performance to empower the DA/BA community with faster time-to-insight.Capital One Product FrameworkIn this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product Management:Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutionsBusiness Focused - Delivers game-changing outcomes by focusing on leverage and execution excellenceTechnology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term valueIntegrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risksTransformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignmentThis role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.Basic Qualifications:Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:A Bachelor's or Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or MarketingORBachelor's degree in any field and at least 3 years of Product Management experiencePreferred Qualifications:Experience translating business strategy and analysis into consumer facing digital productsExperience 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 with experience navigating technical, business, and risk stakeholders.