Senior Manager, Product Management - AI​/ML

About the Team

Empowering Capital One model developers to rapidly innovate, the Enterprise AI/ML organization provides the comprehensive platform, tools, and infrastructure necessary to deliver impactful machine learning models and cutting-edge customer experiences. This role is on the Frontier Machine Learning team within the AI/ML organization, which is responsible for discovering and unlocking the use of the latest AI/ML technology, allowing Capital One to create next-generation customer experiences.

In this role you will own the 0-1 strategy and creation of an enterprise customer data product used to incorporate more holistic customer context into high leverage decisioning. You'll collaborate with a cross‑functional team to scope, prioritize, and build while also working with internal customers to drive adoption. The ideal candidate is passionate about machine learning and data, and deeply empathizes with data scientists and engineers.

They are comfortable in conversation with engineering teams as well as stakeholders ranging from data scientists to senior leaders.

Product Managers take a holistic approach to creating value through applying human‑centered design principles, deeply understanding the needs and opportunities in our business, fostering technological innovation, applying creativity to solve hard problems and embracing boundaryless leadership. Your expertise and insight will be integral to accelerating technology innovation and enabling better customer experiences at Capital One.

In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered – Obsesses about internal and external customer needs to reimagine and innovate product solutions
• Business Focused – Delivers game‑changing outcomes by focusing on leverage and execution excellence
• Technology Driven – Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
• Integrated Problem Solving – Identifies and resolves complex problems to deliver outcomes while mitigating product risks
• Transformational Leadership – Leads cross functional teams to solve customer problems and drive organizational alignment

• 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)
  • 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

• Experience translating business strategy and analysis into consumer facing digital products
• At least 5 years of experience in Agile product management
• At least 5 years of experience translating business strategy and analysis into consumer facing digital products
• At least 5 years of experience with Machine Learning technologies
• At least 5 years of experience building products for data scientists, machine learning engineers or model risk officers
• At least 1 year of Fintech experience

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Cambridge, MA: $193,000 - $220,300 for Sr. Mgr, Product Management

Chicago, IL: $175,500 - $200,300 for Sr. Mgr, Product Management

McLean, VA: $193,000 - $220,300 for Sr. Mgr, Product Management

New York, NY: $210,500 - $240,300 for Sr. Mgr, Product Management

San Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product Management

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual…