Apply on Employer Site

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, and they are seeking a Senior Data Product Manager to drive innovative customer experiences through technology. The role involves leading cross-functional teams to create a modern data ecosystem that ensures data is well-managed, easy to govern, and accessible for effective use.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

Driving innovative and sustainable customer experiences through technology

Aligning product, tech, design, machine learning, risk and other horizontal partners to create a modern data ecosystem

Embedding automated governance throughout the data lifecycle from data creation to deletion

Helping Enterprise Data solidify a foundation to make data easy to find, understand and use

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

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

Qualification

Product ManagementData ManagementQuantitative AnalysisDigital Product DevelopmentTechnology UtilizationCross-functional LeadershipCustomer FocusProblem Solving

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