Director, Risk Lead for Generative AI
Company: Capital One
Location: Cambridge
Posted on: April 25, 2024
Job Description:
Center 3 (19075), United States of America, McLean,
VirginiaDirector, Risk Lead for Generative AIWe 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 initiativesHere'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 deploymentsPreferred 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 & AnalysisCandidates 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 -. 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 . 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 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, Waltham , Director, Risk Lead for Generative AI, Executive , Cambridge, Massachusetts
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