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Capital One · 8 hours ago

Senior Manager, Product Management - AI/ML

Chicago, IL

Full-time

Onsite

Senior Level

$210K/yr - $240K/yr

5+ years exp

Capital One is a leading bank dedicated to transforming the financial system and providing innovative customer experiences. They are seeking a Senior Manager in Product Management focused on AI/ML to drive the strategy and creation of enterprise customer data products, collaborating with cross-functional teams to enhance decision-making processes. The ideal candidate will leverage their expertise in machine learning and product management to foster technological innovation and improve customer experiences.

BankingCredit CardsFinanceFinancial Services

Comp. & Benefits

No H1B

Responsibilities

Own the 0-1 strategy and creation of an enterprise customer data product used to incorporate more holistic customer context into high leverage decisioning

Collaborate with a cross-functional team to scope, prioritize, and build while also working with internal customers to drive adoption

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

Qualification

Product ManagementMachine LearningAgile MethodologiesQuantitative AnalysisData Product DevelopmentHuman-Centered DesignBusiness Strategy TranslationIntegrated Problem SolvingTransformational LeadershipCross-functional Leadership

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