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McLean, Virginia, United States
Onsite
Not Available
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.
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.
Basic Qualifications:
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
Preferred Qualifications:
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
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Manager, Cyber Technical
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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