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Responsible AI Risk Assessment Manager, 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

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Risk & Compliance

Responsible AI Risk Assessment Manager, Tech and Data Risk

Job ID: 93768

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

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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) Risk Assessment Manager, you will ensure the strong ability to evaluate and validate AI models for reliability, ethical compliance, and regulatory adherence. This includes not only technical skills in model testing and validation but also the capacity to communicate complex findings effectively to both technical and non-technical stakeholders.

This role reports directly to the RAI Governance Lead, Technology & Data Risk, who is responsible for the firm’s global RAI Governance program as part of the Risk function. You will partner closely with Legal, Risk teams, Technology and Product teams to develop consistent and scalable RAI controls and testing methodologies.

Your impact within our firm

As the lead in risk assessing and testing AI models, you will ensure control implementations meet external regulations, internal standards, and best practices. Your role will involve defining the technical vision and strategic roadmap for AI controls and testing including continuous monitoring, evaluation, and reporting of AI systems. To ensure you stay ahead of the regulatory landscape, you will work closely with the legal team to quickly adapt approaches to reflect new requirements.

You will play a critical role in prioritizing areas for risk assessment and mitigation, guiding the responsible development and deployment of AI systems. You will conduct testing of AI models as part of the governance process as well as validating testing of models that internal teams have conducted, and additionally in response to market changes or new regulatory demands, provide actionable insights and recommendations for improvement. In collaboration with cross-functional teams, you will spearhead the development of tools, automation strategies, and data pipelines that support scalable AI risk management efforts and that empower product and engineering teams to leverage those tools and playbooks to enable their own independent risk mitigation.

You will assist in developing standardized reporting templates tailored to meet the needs of both technical data scientists and senior leadership to facilitate clear communication of results.

Your collaboration will extend to model owners and senior management, where you will present findings, assess their implications for risk management, and propose enhancements to AI models.

Your qualifications and skills

Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audience
Experience in responsible AI
Experience with modeling, experimentation, and causal inference
Experience working with engineering and product teams to create tools, solutions, or automation
Deep understanding of AI and ML models, including their potential ethical implications, biases, and regulatory considerations
Proficiency in SQL, Python, and data analysis/data mining tools
7+ years of experience in data analytics, data science, or trust and safety
Bachelor's degree or equivalent practical experience

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

Industries

High Tech

Capabilities

Risk & Resilience

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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 $182,700 - $243,600 in USD and $198,800 - $265,000 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.

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