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Capital One · 1 day ago

Senior Data Product Manager

Richmond, VA

Full-time

Onsite

Senior Level

$201K/yr - $229K/yr

5+ years exp

Capital One is a leading financial services company focused on innovation and customer experience. The Senior Data Product Manager will drive the development of a modern data ecosystem, ensuring data is well-managed, easy to govern, and accessible for innovative business solutions.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

Demonstrate proficiency in five key areas: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, and Transformational Leadership

Lead cross-functional teams to solve customer problems and drive organizational alignment

Focus on embedding automated governance throughout the data lifecycle from data creation, to data publishing and transforming, to data deletion

Help Enterprise Data solidify a foundation to make data easy to find, understand and use via our data warehouse, data lake, The Exchange, and data products

Provide transparency to end consumers about their data and ensure critical governance processes related to data sharing with third parties and privacy regulations

Deliver and maintain well-managed data and technology that leverages the power of the unified, cross-functional Enterprise Data team

Qualification

Product ManagementData ManagementQuantitative AnalysisDigital Product DevelopmentTransformational LeadershipIntegrated Problem SolvingHuman Centered DesignBusiness FocusedTechnology Driven

Required

At least 5 years of experience working in Product Management

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) or 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