Manager, Generative AI Advisory and Oversight
Company: Capital One
Location: Mc Lean
Posted on: January 27, 2026
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Job Description:
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. 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 New York, NY: $215,200 - $245,600 for
Manager, Cyber Technical Richmond, VA: $179,400 - $204,700 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 Capital One
does not provide, endorse nor guarantee and is not liable for
third-party products, services, educational tools or other
information available through this site. Capital One Financial is
made up of several different entities. Please note that any
position posted in Canada is for Capital One Canada, any position
posted in the United Kingdom is for Capital One Europe and any
position posted in the Philippines is for Capital One Philippines
Service Corp. (COPSSC).
Keywords: Capital One, Bowie , Manager, Generative AI Advisory and Oversight, IT / Software / Systems , Mc Lean, Maryland