Manager, Product Management, Card Intelligence

Manager, Product Management, Card Intelligence

Manager, Product Management (PXDP50)

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.

About the Team

In Card Intelligence, we’re using Machine Learning (ML) 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 product team, you’ll collaborate with talented data scientists and engineers to develop and deploy a portfolio of predictive risk models, and at times investigate Generative AI models, to support behavioral and valuations based decisions and outcomes. This role will directly play a role in helping define the types of technologies and experiences our DS and tech teams need to help Capital One build a world class Business Cards & Payments (BC&P) Line of Business, in support of providing services to small business customers. You’ll do this by:

• Working across teams to build products that enable seamless and scalable 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 BC&P 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 requirements to define new architecture patterns across our Card Intelligence portfolio.
   

As a Product Manager aligned to the the BC&P model 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 platforms, tools 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 with 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