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Capital One · 3 hours ago

Sr. Director, Product Management - AI/ML Platform Intelligence

Chicago, IL

Full-time

Onsite

Senior Level, Lead/Staff

$245K/yr - $280K/yr

9+ years exp

Capital One is a leading financial services company that is driving innovation through technology. The Sr. Director, AI/ML Platform Intelligence will lead a product team focused on Machine Learning and Generative AI platforms, responsible for core platform services that support critical business applications.

Financial Services

Comp. & Benefits

No H1B

Responsibilities

Lead a product team spanning the Machine Learning and Generative AI platforms at Capital One

Be responsible for the core platform services for AI/ML platform that powers mission critical business applications

Partner with technology, risk, security, and business teams to monitor platform performance, identify issues, and support resilience

Set the strategy and priorities grounded in technical understanding and user experience

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

Qualification

Product ManagementAI/ML TechnologiesPeople LeadershipQuantitative DegreeCloud TechnologiesBusiness Strategy TranslationTransformational LeadershipIntegrated Problem SolvingHuman CenteredBusiness FocusedTechnology Driven

Required

At least 9 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