Manager, Product Management- Card Intelligence

Manager, Product Management- Card Intelligence

Are you passionate about leveraging cutting-edge machine learning solutions to drive innovation in the financial services industry? 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.

About the Team
In Card Intelligence, we’re using Machine Learning (ML), including Generative AI, to build the future of how we work with our customers across the entire customer lifecycle. As a key player in our Card Machine Learning division, you’ll collaborate with talented data scientists and engineers to develop and deploy predictive ML and Generative AI models to help support our fraud prevention teams. You’ll do this by:

• Working across teams to build products that enable seamless and scalable anti-fraud models, influence strategic decisions, and contribute to building a thriving product practice in support of our overall Machine Learning capabilities.

• Partnering with leaders across our fraud prevention business, data science, and engineering teams to reduce the time it takes to bring models to market through identifying re-usable solution patterns.

• Delivering machine learning service requirements and architecture patterns across our Card Intelligence portfolio

As Product Manager aligned to the Fraud Intelligence team in Card Intelligence, you will:

• Balance business and technology product requirements to drive consensus across our partners.

• Use systems thinking to design and deliver machine learning architecture patterns and standards on a cross-functional team

• Look end-to-end to help drive integration, adoption and scaling of models

• Help manage prioritization and investment with cross-function teams to balance retraining, refitting, and rebuilding models with operating the current models.

• Define and operate a product pod across DS and Tech to drive standard agile management practices, while communicating progress toward objectives across day-to-day and senior management stakeholders.

Who you are:

• A candidate who is intellectually curious and emphasizes personal learning and development

• A self-starter who can execute in ambiguous situations by independently aligning core problem statements across stakeholders, and drive progress directly or through partners

• An individual who leads with empathy and adjusts well to new information – we work in a complex space that is constantly evolving!

• A candidate with a passion for Machine Learning technologies and architecture patterns

Capital One Product Framework

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

Basic Qualifications:

• At least 3 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

Preferred Qualifications:

• Experience translating business strategy and analysis into consumer facing digital pr