Capital One
Manager, Risk Management: Card Data Management
$138K–$173K
McLean, VA +1 · Manager · Full-time · Posted Sep 23, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years of relevant compliance, legal, audit, or risk experience; at least 3 years each in project/process management and internal business client interaction. Preferred: 5+ years in specified risk or project/program fields and 3+ years in reporting and data analysis.
- Education
- High School Diploma, GED, or equivalent certification; Bachelor's Degree preferred.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization for this position.
About the job
Leads card data risk and governance activities, partnering with business teams to improve data controls, monitoring, and management processes.
What you'll do
- Lead risk, governance, and compliance activities for High Priority Data, HPUs, Data Products, and Authoritative Sources.
- Develop and improve scalable data management processes and controls, and evaluate control effectiveness.
- Partner with data producers, consumers, and stakeholders to deliver data management improvements and results.
What they ask for
- High School Diploma, GED, or equivalent certification.
- At least 4 years of Compliance, Legal, Audit, or first or second line Risk Management experience supporting financial services, cyber, technology, or data management.
- At least 3 years of Project or Process Management experience.
- At least 3 years of experience supporting, partnering, and interacting with internal business clients.
Nice to have
- Bachelor's Degree; 5+ years of cross-functional Risk project/program management or 5+ years of Compliance, Legal, Audit, or Risk Management experience.
- 3+ years reporting and analyzing data; risk/assurance or PMP, Lean, Agile, or Six Sigma certifications.
Pay
$151,900 - $173,400 USD base salary; $138,100 - $157,700 USD base salary
AI focus
The data governance control framework is being developed to support future data needs, including generative AI; this role manages data risk and controls rather than building AI systems.
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