Senior Manager, Product Manager, Data & Launch Experience

Capital One • McLean, VA

23d

About The Position

Senior Manager, Product Manager, Data & Launch Experience At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalize credit card offers, turning the entire industry on its head. As we’ve grown bigger, we’ve found more and more ways to use technology and face-to-face conversations to understand the human problems associated with money and finances. In the Consumer Bank, we’ve combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. We’ve challenged ourselves to spend less time planning, more time doing, and, above all else, to see the world through the eyes of our customers as they work to understand and manage their money. As a Product Leader focusing on Bank Modernization you will be reimagining our current state architecture to create game-changing customer experiences and business outcomes. You will build solutions that deliver real-time data at scale. As a Data Product Leader in our Financial Product Lifecycle team, you will bridge the gap between technical innovation and business strategy, overseeing the delivery of powerful data and API services that enable us to ship products at devastating speed. By modernizing our data architecture and ensuring platform reliability, you will play a critical role in creating seamless, real-time financial experiences for millions of customers. In 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 solutions. Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence. Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value, specifically within a modern data ecosystem (e.g., cloud-based data platforms, APIs, real-time data flows). Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks, including those related to data quality, data governance, and data pipeline efficiency. Transformational Leadership - Leads and develops cross-functional teams to solve customer problems and drive organizational alignment, championing data-driven decision making and fostering a culture of data literacy. This includes direct management and mentorship of product managers.

Requirements

• At least 5 years of experience working in Product Management
• At least 2 years of experience leading and managing a team of product managers
• 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 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) A 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) or an MBA with a quantitative concentration

Nice To Haves

• Experience translating business and/or data strategy and analysis into consumer facing digital products.
• Deep understanding of data management principles, data governance frameworks, and data lifecycle management.
• Experience with large-scale data platforms, data warehousing, data lakes, or real-time data streaming technologies.
• Proven ability to define and drive multi-year product roadmaps.
• Experience collaborating with product managers, data analysts, data scientists, and data engineers as both data producers, and consumers.

What This Job Offers

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