Director, Risk Lead for Generative AI Part Time

Director, Risk Lead for Generative AI

We are growing! The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Digital, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise AI/ML. We are on the cutting edge of risk management and provide support for new and emerging technologies as well as critical business strategies. Capital One has taken a bold journey to build a technology company, while operating in a complex, highly regulated business.

Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of generative AI that few other organizations can. We are committed to building world-class applied science and platform engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance generative AI infrastructure. As an AI/ML risk leader, you will help bring the transformative power of generative AI to reimagine how we serve our customers and businesses who have come to love the products and services we build in a well managed way.

As a Director Risk Leader supporting the AI Foundations Program, you will partner with colleagues across AI product, design and tech to deliver results that have a direct impact on customer experience and implement risk solutions to ensure Capital One’s continued stability and success. Responsibilities require partnering with a broad set of leaders and stakeholders to identify existing and potential emerging risks in an open, collaborative environment where new ideas and solutions are both welcomed and rewarded.

The successful candidate will have knowledge of AI/ML product development processes including an understanding of the model development lifecycle with a lens towards building and scaling AI technologies in a responsible and well managed manner. The candidate will possess an understanding of process management strategies, risk methodologies and have the ability to build relationships with business and risk partners. Core responsibilities include oversight of process hierarchy, critical business process identification and consultation, horizontal support for Enterprise Services controls program, and controls development of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale. Leads other associates, when necessary, and ensures best practices executed by the team and shared broadly across the Enterprise.

Responsibilities of the Director, Gen AI Risk Guide include and are not limited to:

• Develop and implement processes to provide independent analysis and effective plans to mitigate risk related to the company’s AI/ML management practices.
• Ensure effective governance by identifying, framing, and presenting risk topics to be discussed by senior management in enterprise risk forums.
• Advise and consult on the development and management of new Generative AI policies, standards and procedures.
• Stay current on emerging risk and potential implications to the company as related to accountable domain(s).
• Collaborate effectively with colleagues, stakeholders, and leaders across multiple organizations to achieve strategic objectives.
• Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups.
• Analyzes data and influences others to proactively identify risks and trends.
• Balances multiple priorities to help drive business value and support team objectives, while managing tasks and activities related to risk management initiatives

Here’s What We’re Looking For In An Ideal Teammate

• You are a critical thinker who seeks to understand the business and its control environment.
• You possess a relentless focus on quality and timeliness.
• You adapt to change, embrace bold ideas, and are intellectually curious. You like to ask questions, test assumptions, and challenge conventional thinking.
• You develop influential relationships based upon shared risk objectives and trust to deliver outstanding business impact.
• You’re a teacher. You do the right thing and lead by example. You have a passion for coaching and investing in the betterment of your team. You lead through change with candor and optimism.
• You create energy and an environment that fosters trust, collaboration, and belonging, making it easy to attract, hire, and retain top talent.

Basic Qualifications

• Bachelor’s degree or military experience
• At least 5 years of experience in Process, Project, Risk Management, or Cloud Risk Management
• At least 3 years direct experience with AI/ML model lifecycle management or operations or deployments

Preferred Qualifications

• Master’s Degree in Computer Science or in an Engineering discipline
• At least 6 years of experience in Process, Project, Product, Risk Management, or Cloud Risk Management (or equivalent)
• At least 5 years of hands-on experience with AI/ML specific model lifecycle management including understanding of AI/ML architecture, model risk, data management and Responsible AI practices
• At least 4 years leading a team
• Effectively work in white space and bring structure to deliver on our well managed agenda
• 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 consensus
• Experience with identifying and communicating key risks to AI implementations and architectures
• Experience with risk analysis and reports that describe risk implications to executives
• Ability to manage multiple high-visibility and high-impact projects while maintaining superior results
• Familiarity with AI/ML frameworks (NIST AI)
• Prior experience working in financial services or other highly regulated sectors
• Experience with security best practices for generative AI development and deployments

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.

New York City (Hybrid On-Site): $233,100 – $266,000 for Director, Cyber Risk & Analysis

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 theCapital 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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).

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