Senior Associate, Product Manager, Card Intelligence

Senior Associate, Product Manager, Card Intelligence

Product Management 

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.

Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions, then product management at Capital One may be a fit for you

 

In this role, you’ll learn the essentials of being a product manager, and we’ll invest in you to grow in four key areas:

• Human Centered 

  • You’ll collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design

  • You'll breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test

• Business Focused 

  • Demonstrating a growth mindset, you’ll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs

  • You’ll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk

• Technology Driven 

  • You’ll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology 

  • You’ll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers

  • You’ll deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy

• Transformational Leadership 

  • By actively participating in horizontal forums, you’ll harness a network of trusted relationships among tech teams, designers, key internal stakeholders and partner teams

  • You’ll articulate a succinct product roadmap to deliver business value and share with with stakeholders, elevating your team’s results and becoming a product matter expert

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.

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

Basic Qualifications:

• Bachelor’s degree or military experience

• At least 1 year of product management experience or at least 1 year of experience in p