Senior Manager, Product Manager-Multi-User Experiences

Capital One•McLean, NY

2d•$182,500 - $249,900

About The Position

Senior Manager, Product Manager-Multi-User Experiences 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. About the Team The Multi-User Experiences team was created to serve the unique needs of how customers manage their money through a variety of relationships. These mutli-user experiences include numerous dynamics, including caring for children, elderly parents, temporarily helping someone in need, and more. As Multi-User accounts have very unique needs, you will be tasked with being the voice of these customers throughout development of new features that enable customers to manage their money (or the money of their loved ones) the way they need to. As a Senior Manager Product Manager, you’ll be focused on enabling these new relational experiences through investment in our backend architecture, data ecosystem and connecting new services throughout the Bank to unlock limitless relationship possibilities. You’ll be joining a passionate team of product managers, designers, engineers, data scientists, and analysts working to redefine how customers interact with their money. Capital One Product Framework 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