Explore Career Opportunities with GSV’s world-class partners

Powered By

27

companies

3,640

Jobs

My job alerts

Responsible AI Governance Lead, Tech and Data Risk

McKinsey & Company

Software Engineering, Data Science

Atlanta, GA, USA · Boston, MA, USA · Chicago, IL, USA · Germany

Posted on Dec 4, 2024

Apply now

Risk & Compliance

Responsible AI Governance Lead, Tech and Data Risk

Job ID: 93767

Atlanta
Boston
Chicago
Dallas
New Jersey
New York City
Phoenix
Tampa
Toronto
Washington DC

Apply Now Apply Later

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

Who You'll Work With

You will be based in one of our North America offices and will work within the firm's Technology & Data Risk function as the Responsible AI (RAI) Governance Lead.

You will be responsible for the design, implementation, and oversight of RAI practices across our firm ensuring alignment with global regulatory frameworks and firm values.

This role reports directly to the Associate Director of Strategic Programs, Technology & Data Risk, who is responsible for leading strategic programs as part of the risk function. You will partner closely with Legal, Risk teams, Technology and Product teams to assist you in the development of the RAI Governance program.

Your impact within our firm

As the RAI Governance Lead, you will be responsible for the firm’s RAI Governance Program, creating and maintaining policies and frameworks to ensure the responsible and compliant use of AI. You’ll ensure that AI systems meet global regulatory standards as defined by our legal team and adapt policies to keep pace of evolving legal requirements.

You will lead the implementation and integration of tools to support the RAI governance processes, including intake, risk assessment, monitoring, testing and compliance of AI use cases. You’ll work closely with product, engineering, and legal teams to embed responsible AI practices into product development and daily operations.

You will manage the team responsible for performing risk assessments on AI systems and will set the strategy for AI risk management including MLOps, continuous testing to ensure we have a strong ability to evaluate and validate AI models for reliability, ethical compliance, and regulatory adherence.

You will also play a key role in training teams across the firm, building awareness around the implications of AI use, and promoting accountability. Staying informed about global trends and regulatory changes, you’ll translate new developments into practical strategies and actionable recommendations.

You’ll define and monitor key performance metrics that ensure AI systems operate responsibly and are adhering to our standards. Conducting regular audits of models, algorithms, and datasets will help you confirm they meet the necessary standards.

Additionally, you’ll contribute to designing and implementing controls that mitigate potential AI risks and enhance trust.

Your qualifications and skills

Bachelor's degree required
7+ years experience within a risk or governance role
Expertise in AI ethics principles, privacy regulations (e.g., GDPR, CCPA), or industry standards for responsible AI
Deep understanding of the end-to-end AI/ML development lifecycle, including data collection, model development, deployment, and monitoring
Strong analytical skills, with the ability to interpret data and perform bias and fairness analysis on complex AI systems
Experience in responsible AI particularly AI testing and model validation
Demonstrated experience leading teams of technical experts, driving successful project outcomes and fostering team collaboration
Exceptional communication skills, with the ability to translate technical concepts to non-technical stakeholders and lead cross-functional teams
Proven ability to work effectively with cross-functional teams, including product, legal, compliance, and data science teams, to align on responsible AI objectives

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Industries

High Tech

Capabilities

Risk & Resilience

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in Canada and/or the United States, including all office locations where the job may be performed, a reasonable estimated range is $152,300 - $203,000 in USD and $153,000 - $204,000 in CAD — to help you understand what you can expect. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

share this job

Job Skill Group - N/A
Job Skill Code - MREM - Manager, Risk Operations and Experience
Function - Risk & Resilience
Industry - High Tech
Post to LinkedIn - #LI-DNI
Posted to LinkedIn Date -
LinkedIn Posting City -
LinkedIn Posting State/Province -
LinkedIn Posting Country -
LinkedIn Job Title - Responsible AI Governance Lead, Tech and Data Risk
LinkedIn Function -
LinkedIn Industry -
LinkedIn Seniority Level -

Apply now

See more open positions at McKinsey & Company

Privacy policy Cookie policy