Senior Manager, Product Management - AI​/ML

Senior Manager, Product Management - AI/ML

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper.

We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate, inspire, and develop the tools our customers need to improve their financial lives. Machine learning is at the heart of our approach. We provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced analytic capabilities.

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…