Capital One
Manager, Product Management Enterprise Data
$150K–$250K
McLean, VA +2 · Manager · Full-time · Posted Oct 30, 2026
- Location
- McLean, VA
New York, NY
Richmond, VA - Experience
- At least 3 years of Product Management experience is required for candidates with a bachelor's degree in any field; no years specified for candidates with a qualifying degree.
- Education
- A bachelor's or master's degree in a quantitative field, business, or marketing; alternatively, a bachelor's degree in any field and at least 3 years of Product Management experience.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or provide immigration-related support.
About the job
Leads product management for Enterprise Data, building a well-governed, discoverable data ecosystem and data products that support intelligent experiences.
What you'll do
- Aligns product, technology, design, machine learning, and risk partners around Enterprise Data priorities.
- Develops a unified data destination and improves data trust, governance, discoverability, and use.
- Scales prioritized data products and expands use of external data.
What they ask for
- Currently has or is obtaining a qualifying degree by the scheduled start date: a bachelor's or master's degree in a listed quantitative field, business, or marketing; alternatively, a bachelor's degree in any field and at least 3 years of Product Management experience.
Nice to have
- Experience translating business strategy and analysis into consumer-facing digital products.
Pay
$164,800 - $188,100 USD (base salary, Manager, Product Management, McLean, VA); $200,700 - $229,100 USD (base salary, Sr. Mgr, Product Management, McLean, VA); $179,700 - $205,100 USD (base salary, Manager, Product Management, New York, NY); $219,000 - $249,900 USD (base salary, Sr. Mgr, Product Management, New York, NY); $149,800 - $171,000 USD (base salary, Manager, Product Management, Richmond, VA); $182,500 - $208,300 USD (base salary, Sr. Mgr, Product Management, Richmond, VA)
Tools
OneStream, One Lake
AI focus
Builds and manages an enterprise data ecosystem designed to support an AI-driven world and real-time intelligent experiences.
Model-written summary · the original posting is authoritative