Description
We are seeking a Product Manager to join our Analytical Data Infrastructure team. In this role, you will increase our speed to market by bridging the gap between raw data and high-performance, business-ready datasets. You will partner with Enterprise tech teams, business stakeholders, and Risk Management to maximize the value of our data: accelerating speed-to-insight for our Data Analyst and Business Analyst communities while enabling machine learning models at scale.
Key Responsibilities:
- Data Strategy & Expansion: Partner with Enterprise platforms to evaluate enterprise tools and standards, architectural patterns, and data sources to scale our core data infrastructure.
- Business & Risk Alignment: Collaborate with business partners to identify high-leverage capability gaps and engage with process teams to ensure end-to-end operational compliance.
- Partner with tech team: Drive feature delivery from intent to production by writing clear requirements and guiding agile teams through test and release cycles.
- Data Product Development: Lead the end-to-end lifecycle of scalable data products, driving data consumption for downstream analytics and machine learning models.
- Quality & Reliability: Elevate data quality, uptime, and scalability to enterprise standards by establishing robust monitoring, analytical, and audit framework use cases.
- Self-Service Enablement: Optimize data visualizations, usability, analytical depth, and query performance to empower the DA/BA community with faster time-to-insight.
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
Preferred Qualifications:
- Experience translating business strategy and analysis into consumer facing digital products
- Experience as a Product Manager driving data infrastructure, data platforms, or data products.
- Hands-on familiarity with modern data architectures, enterprise platforms, and machine learning integration.
- Strong track record of translating complex analytical needs into scalable, user-friendly data solutions.
- Excellent cross-functional skills with experience navigating technical, business, and risk stakeholders.
Salary: Chicago, IL: $149,800 - $171,000 for Manager, Product Management McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management