Manager, Generative AI Advisory and Oversight

Capital One • McLean, VA

8d • $179,400 - $245,600

About The Position

Manager, Generative AI Advisory and Oversight As the Manager, Generative AI Advisory and Oversight, you will serve as a subject matter expert for AI/ML platform and system risk analysis, including the Capital One Generative AI platform and Agentic AI system architectures. You will collaborate with first-line Cyber and Technology teams as well as other risk management offices to perform risk assessments, design reviews, and advise on the AI/ML roadmap and implementation plan with security, technology, and architecture best practice viewpoints. Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, software quality, and data management. Technology & Data Risk Management (TDRM) is a small organization that packs a big punch. The ~200 professionals in TDRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, tech risk, and data management risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. For years, the cybersecurity community has debated whether the CISO should report to the CIO or not. In regulated financial services, the answer is: both. The first-line CISO has operational responsibilities and reports to the CIO. The second-line Chief Tech Risk Officer (CTRO) and the Tech & Data Risk Management (TDRM) organization have broader responsibilities for cybersecurity but also reliability, software quality, resilience, and the risk of failing to manage our data. The CTRO is independent and oversees the work of the CISO, the CIO/CTO, and the Chief Data Officer. The CTRO reports to the Chief Risk Officer, who reports directly to the CEO. Our business leaders must constantly make technology decisions. TDRM makes sure they have the tech and data risk information they need to make good decisions. Associates within TDRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, data analyst, data scientist, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately.

Requirements

• Bachelor's degree or military experience
• At least four years of experience in Technology Management or Cyber Risk Management
• At least one year of experience architecting, designing, developing, integrating, delivering, supporting or assessing complex AI systems

Nice To Haves

• 2+ years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
• Master's degree in Computer Science, Computer Engineering, or relevant technical field
• Experience assessing GenAI or LLM-Powered application architectures in production, including security best practices for Generative AI development and deployments
• Experience drafting and communicating reports or analytic assessments for executives
• Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus
• Experience with identifying and communicating key risks related to AI/ML implementations and architectures
• Experience with risk analysis and reports that describe the risk implications to executives
• Ability to manage multiple high-visibility and high-impact projects while maintaining superior results
• Familiarity with AI controls and control frameworks (NIST AI Risk Management Framework, ISO 42001, OWASP Top 10 for LLM, MITRE ATLAS)
• Prior experience working in financial services or other highly-regulated sectors

Responsibilities

• Provide technical leadership in assessing the architecture, security requirements/controls, roadmaps, and reusable patterns for AI/ML system design and deployments (including Agentic AI frameworks), while providing oversight and effective challenge over the end-to-end AI/ML lifecycle
• Evaluate proposed and approved AI/ML technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities
• Develop and maintain AI/ML risk guidance to ensure the safe adoption of emerging technologies, including governance for agentic AI components, establishing secure data/tool interaction models and how to maintain secure operational boundaries
• Evaluate the dynamic behavior of AI systems and oversee the development of key continuous monitoring controls and testing, ensuring that non-deterministic outputs and autonomous actions remain within risk appetite
• Define requirements for AI observability, focusing on the traceability of autonomous decisions and comprehensive system audit trails
• Mentor junior risk associates to bring them up to speed on AI/ML architecture and risks, including Generative AI, AI Agents, and Agentic AI systems
• Build and maintain relationships with technical leaders, engineers, architects, and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risks are well communicated and understood by key stakeholders
• Demonstrate enthusiasm for keeping current with AI/ML trends, actively experimenting with and learning new technologies, engaging in both internal and external technology communities, and providing mentorship to colleagues within the risk management and engineering sectors.
• Demonstrate strong analytical, problem-solving, and decision-making skills
• Define, structure and plan work independently
• Translate complex ideas, technology, and programs into language executives can relate to and perform as a key influencer on technical decisions that affect the AI/ML platforms and systems
• Draft and communicate independent reports for broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers
• Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups.

Benefits

• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
• Learn more at the Capital One Careers website.
• Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees