Capital One · 1 week ago
Product Manager (Data) - Business Cards & Payments
McLean, VA
Full-time
Onsite
Mid Level
$165K/yr - $188K/yr
3+ years expCapital One is a leading financial services company, and they are seeking a Data Product Manager for their Business Cards & Payments team. The role involves taking ownership of the ML prediction product and its data pipelines, collaborating with cross-functional teams to deliver value-driven solutions.
Financial Services
No H1B
Responsibilities
The Data Product Manager is responsible for the core ML prediction product and its associated data within our product ecosystem
Define the vision for the ML prediction product and its data pipelines that solves customer problems and brings business value
Develop a 12 month+ roadmap (updated quarterly) for the core ML product and socialize with stakeholders for buy-in
Lead team(s) of data scientists, software and data engineers to develop and implement ML model improvements, partnering with Enterprise teams where possible. Ensure that the technical architecture supports the evolving needs of current and future use cases
Implement best practices in data and ML model pipelines to improve data quality and model accuracy. Ensure compliance with Enterprise data requirements and data patterns
Design and implement A/B tests and experiments related to data quality, model performance, and system reliability. Analyze results and identify areas for improvement. Communicate the results of back-end tests and experiments to stakeholders. Partner with analysts, data scientists, designers, engineers, and others to continuously harvest insights from experiments and refine the roadmap
Define product requirements, rationalize & recommend sequencing, goal setting, story writing, product execution, testing, and product roll-out strategy
Define and track key performance indicators (KPIs) related to ML model performance, data quality, and system performance
Champion the implementation of robust monitoring and alerting systems to detect and address data quality issues, ML feature or model drift and performance degradation. Partner with other internal teams on data quality standards and enhancements
Identify and address technical challenges and roadblocks
Qualification
Required
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) or 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
Have a customer-first mindset
Thrive at the intersection of data and business strategy - able to understand complex business intent and translate strategy into requirements that promote consistent, reusable and interoperable data consumption
Framework driven approach to problem solving with ability to simplify technical complexity and drive well-educated business decisions across stakeholders
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners
Have product centric mindset to take a product from ideation to production and continually iterate improvements
Have working knowledge and passion for emerging technologies to incorporate into building great products. Proficiency in handling large data files using SQL, Python, and/or R
Someone who is not afraid to challenge the norm and do what is right for the team
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
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
Preferred
Experience translating business strategy and analysis into consumer facing digital products
Benefits
Performance based incentive compensation
Cash bonus(es)
Long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits
Company
Capital One
Capital One is a financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.45BKey Investors
Berkshire Hathaway
2025-09-11Post Ipo Debt· $2.75B
2025-01-30Post Ipo Debt· $1.75B
2023-05-15Post Ipo Equity· $954M
Leadership Team
Lo Li
CTO, Managing Vice President Retail Bank
Daniel Arellano
Senior Vice President, Business Cards and Payments
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