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Capital One · 4 days ago

Senior Manager, Product Management - AI/ML

Chicago, IL

Full-time

Onsite

Senior Level

$201K/yr - $229K/yr

5+ years exp

Capital One is changing banking for good and focuses on fostering equal opportunity in the financial system. The Senior Manager, Product Management - AI/ML role involves owning the strategy and creation of an enterprise customer data product, collaborating with cross-functional teams to drive innovation and improve customer experiences through machine learning.

Financial 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

Apply human-centered design principles to create value and innovate product solutions

Deliver game-changing outcomes by focusing on leverage and execution excellence

Leverage technology to deliver innovative and resilient solutions that enable both near term and long term value

Identify and resolve complex problems to deliver outcomes while mitigating product risks

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

Qualification

Product ManagementMachine LearningAgile MethodologiesData AnalysisQuantitative Field DegreeTransformational 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