Capital One
Sr. Director- Data, Models, and AI Risk Management | Retail Bank
$245K–$308K
McLean, VA +1 · Director · Full-time · Posted Oct 13, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 12 years in one or more listed technology, cybersecurity, audit, risk, resilience, or reliability areas. Preferred: 14+ years in Cyber or Information Security risk management, 12+ years in cloud computing, and 12+ years in a second-line or oversight role.
- Education
- Preferred: Bachelor’s Degree in Information Technology, Cybersecurity, or equivalent.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads Retail Bank data and AI risk management, overseeing risk frameworks, controls, assessments, mitigation, reporting, and team development.
What you'll do
- Oversee AI risk across control domains and enhance data and AI risk programs and frameworks.
- Partner with Technology, Business, and data stewards to assess compliance and manage data risks including quality, lineage, transformation, and AI usage.
- Guide risk mitigation, report key issues and proposed actions to senior stakeholders, and build and develop the Data and AI risk team.
What they ask for
- At least 12 years of experience in technology, cybersecurity, technology auditing, systems risk management, technology risk assessments, resilience engineering, chaos engineering, site reliability engineering, or a combination.
Nice to have
- Bachelor’s Degree in Information Technology, Cybersecurity, or equivalent; professional security or risk management certification, including CISSP, CISA, CRISC, or Open FAIR.
- 14+ years of Cyber or Information Security risk management; 12+ years in cloud computing (AWS, GCP, or Azure); 12+ years in a second-line or oversight role at a financial institution or regulatory agency.
Pay
$269,600 - $307,700 USD base salary (McLean, VA); $245,100 - $279,800 USD base salary (Richmond, VA)
Tools
AWS, GCP, Azure, LLM
AI focus
Leads AI risk oversight, assesses AI usage across its lifecycle, and develops proactive controls and mitigation for risks arising from AI.
Model-written summary · the original posting is authoritative