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Ai Risk Manager Jobs in Minnesota (NOW HIRING)

The Technology, Cybersecurity, and Digital, Data, and AI Risk team provide support to our business ... This Technology Risk Manager position will support the Technology Infrastructure organization. To ...

Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating outputs and ensuring compliance with governance, privacy, and risk management standards. * Maintain ...

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Utilize approved AI tools, analytics platforms, and digital solutions responsibly, validating outputs and ensuring compliance with governance, privacy, and risk management standards. * Maintain ...

New

# Senior Credit Risk Manager* Virginia* Full Time (Permanent)* Hybrid* 175-250k* Loans US CreditApply ... Experience implementing AI tools to power business monitoring## Compensation**US$175,000 - US$250 ...

Manage stakeholders' expectations * Drive presales & business development activities * People ... Understanding of AI/GenAI risk: model and data governance, AI risk scans and assessments, prompt ...

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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:

Infographic showing various Ai Risk Manager job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Senior Associate, Technology Risk Advisory - AI Risk

RSM

Saint Paul, MN • On-site

Full-time

Posted 8 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

Role Overview

The Technology Risk Advisory - AI Risk Senior Associate will play a key role in helping clients strengthen their technology, AI, and cybersecurity risk capabilities. You’ll support the design, assessment, and governance of AI and GenAI systems, evaluate cloud and data controls, and contribute to emerging risk frameworks that keep pace with rapid innovation.

This role blends hands‑on technical exposure with structured risk thinking—ideal for someone who can navigate both model development concepts and regulatory expectations.

Key Responsibilities

  • AI/ML Risk Assessments — Support and execute risk and compliance assessments for AI/ML and GenAI systems, including model lifecycle controls, data governance, and responsible AI considerations.
  • Technology & Cloud Compliance — Evaluate IT, cloud, and data environment controls (IAM, encryption, logging, monitoring, network segmentation).
  • Model Governance Support — Contribute to model documentation, testing artifacts, lineage tracking, and change management for AI systems.
  • Emerging Technology Risk — Support assessments related to GenAI, automation, cloud-native architectures, and digital transformation initiatives.
  • Software & Data Engineering Fundamentals — Apply understanding of APIs, data pipelines, testing, and version control to evaluate technical risk.
  • Cross‑Functional Collaboration — Work with engineering, data science, cybersecurity, model risk, and audit teams across the 1st and 2nd lines of defense.
  • Client Delivery — Support workplans, manage assigned tasks, gather requirements, and contribute to high‑quality client deliverables.
  • Risk Translation — Translate technical design elements (data flows, model behavior, system architecture) into clear risk considerations.
  • Communication & Reporting — Prepare documentation, assessment outputs, and stakeholder‑ready reporting that simplifies complex AI and technology concepts.

Required Experience & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Risk, or related field.
  • 2–5 years supporting delivery of technology solutions, with exposure to AI/ML or GenAI and experience in risk, compliance, audit, or regulated environments.
  • Working knowledge of modern ML/GenAI stacks (Python, model development frameworks, embeddings, RAG concepts).
  • Hands‑on contribution to model development, evaluation, or implementation.
  • Experience assessing or implementing AI systems on cloud platforms (IAM, encryption, data governance, environment controls).
  • Solid understanding of software engineering fundamentals: APIs, data pipelines, testing, version control, CI/CD exposure.
  • Ability to translate technical design into risk and control implications with guidance.
  • Experience supporting AI governance and model risk documentation.
  • Strong analytical and problem‑solving skills with the ability to structure ambiguous problems.
  • Consulting fundamentals: requirement gathering, task management, coordination across teams.
  • Effective communicator able to translate technical concepts into clear business and risk language.

Preferred Qualifications

  • Certifications such as AAIA, AAISM, AIGP, CISA, CISSP, CCSP, CRISC, or AI‑focused credentials.
  • Experience with AI risk frameworks, responsible AI principles, or cloud compliance programs.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $77,700 - $146,900

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.