Manager, Product Management,Card Intelligence Acquisitions Models

Capital One • McLean, VA

1d • $164,800 - $205,100

About The Position

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 models, and at times investigate Generative AI model use cases.

This role will focus on delivering behavior and risk models to support customer acquisition business cases and outcomes. As a product manager in Card Intelligence, you will define the capabilities for the platforms and tools in our ML ecosystem that enable Capital One.

The role will provide you opportunities to:
• Work across teams to build platform tools and 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.
• Partner with leaders across our business, data science, and engineering teams to reduce the time it takes to bring models to market.
• Deliver machine learning platform and tool requirements to define new architecture patterns across our Card Intelligence portfolio.
• Partner closely with tech teams to define our AI-native future.

As a Product Manager aligned to model teams in Card Intelligence, you will be expected to:
• Balance business and technology product requirements to drive consensus across our partners.
• Drive delivery of deploying production ML models.
• 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.

The role requires blending product and technology skills to help drive business outcomes. We value experience leading technology delivery, large technology transformation projects, big data projects, or delivering machine learning solutions.
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

Requirements

• 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 or 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), Business or Marketing OR Bachelor's degree in any field and at least 3 years of Product Management experience

Nice To Haves

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

Responsibilities

• Work across teams to build platform tools and 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.
• Partner with leaders across our business, data science, and engineering teams to reduce the time it takes to bring models to market.
• Deliver machine learning platform and tool requirements to define new architecture patterns across our Card Intelligence portfolio.
• Partner closely with tech teams to define our AI-native future.
• Balance business and technology product requirements to drive consensus across our partners.
• Drive delivery of deploying production ML models.
• 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.

Benefits

• performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
• comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager