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Ai Risk Manager Jobs in Minnesota (NOW HIRING)

Senior AI Product Manager

Minneapolis, MN

$132K - $174K/yr

ROLE SUMMARY Senior AI Product Manager (Archetype Lead): The Senior AI Product Manager will lead ... Align AI product vision across Technology, Risk, Data, and Business partners to establish an ...

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements * Ensure secure use of generative AI ...

... Management. The mandate is to move fast, prove value, and establish repeatable patterns , while aligning to enterprise architecture, risk, and AI governance standards. What will you do? Agentic ...

... Management. The mandate is to move fast, prove value, and establish repeatable patterns , while aligning to enterprise architecture, risk, and AI governance standards. What will you do? Agentic ...

AI Data Engineer - Manager

Minneapolis, MN · On-site

$119K - $143K/yr

Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

... and risk management practices aligned with enterprise security architecture and compliance requirements • Ensure secure use of generative AI, large language models (LLMs), and third‑party AI ...

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Minnesota? For Ai Risk Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Minnesota look for? The top searched job categories for Ai Risk Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Risk Manager jobs? Cities in Minnesota with the most Ai Risk Manager job openings:
Specialist - Responsible AI

Specialist - Responsible AI

McKinsey & Company

New Prague, MN • On-site

Full-time

Posted 10 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 57 rated business consultants


Job description

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.
YOUR IMPACT
You will be part of the Responsible AI team within the Digital Risk Office, the firm's 1st Line of Defense for managing digital risks.
You will support the delivery and day-to-day execution of Responsible AI controls and initiatives, ensuring AI systems are designed, developed, and deployed in line with the firm's Trustworthy and Responsible AI principles, including fairness, safety, transparency, privacy, human oversight, and societal and environmental well-being. Working closely with 1st and 2nd Line of Defense partners across Risk, Legal, Compliance, Cybersecurity, and Technology teams, you will translate Responsible AI strategy and standards into actionable workstreams that enable both strong risk management and effective AI development.
In this role, you will structure and prioritize work to ensure Responsible AI controls are implemented, tested, and operated consistently across the firm. You will lead the design and operation of controls within the Unified Control Framework, apply regulatory and industry frameworks in practical ways, oversee control adoption and performance, and define key metrics to support monitoring and continuous improvement. You will also contribute to building and scaling Responsible AI capabilities, proactively identify and escalate risks, and foster sound judgment, high-quality problem solving, and inclusive collaboration.
YOUR GROWTH
You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's degree and/or military or equivalent experience.
  • 4+ years of relevant professional experience in technology, AI/ML, data, cybersecurity, privacy, risk management, or related fields
  • Experience delivering cross-functional initiatives involving technology, risk, legal, or compliance stakeholders, with accountability for outcomes.
  • Hands-on experience with Responsible AI, AI governance, model risk management, or related control environments, including translating standards into operational practices.
  • Exposure to Responsible AI or ML governance tooling such as fairness and explainability libraries (e.g., IBM AI Fairness 360, DeepEval, SHAP, LIME, Google Differential Privacy Library).
  • Ability to lead and review AI/ML evaluation activities, including bias and fairness testing, performance analysis, or robustness assessments

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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