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Ai Risk Analyst Jobs in Utah (NOW HIRING)

Orion

Privacy & AI Governance Counsel

Lehi, UT · On-site

... cause analyses, oversee remediation activities, and ensure timely resolution of identified risks * Lead enterprise privacy compliance activities, including privacy impact assessments, AI risk ...

Vasion, Inc.

Privacy & AI Governance Analyst

Lehi, UT · On-site

$77K - $92K/yr

About the role As Privacy & AI Governance Analyst at Vasion, you will own the execution of our ... Conduct AI vendor risk assessments in partnership with Security and Procurement Policy Development ...

Vasion

Privacy & AI Governance Analyst

Lehi, UT · On-site

$77K - $92K/yr

About the role As Privacy & AI Governance Analyst at Vasion, you will own the execution of our ... Conduct AI vendor risk assessments in partnership with Security and Procurement Policy Development ...

Weave

Fraud Analyst

Lehi, UT · On-site

Our Payments Risk Management Team is seeking a highly motivated and detail-oriented Fraud Analyst ... AI may assist with things like writing s, scheduling interviews, or reviewing applications against ...

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How much do ai risk analyst jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai risk analyst in Utah is $36.86, according to ZipRecruiter salary data. Most workers in this role earn between $27.12 and $44.86 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

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

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What are popular job titles related to Ai Risk Analyst jobs in Utah?

For Ai Risk Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in Utah look for?

The top searched job categories for Ai Risk Analyst jobs in Utah are:

What cities in Utah are hiring for Ai Risk Analyst jobs?

Cities in Utah with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $76,662 per year, or $36.9 per hour.

Enterprise Risk Manager

Lehi, UT

MX Technologies, Inc.
501 - 1,000 employees
Learn more about MX Technologies, Inc.external

Full-time

Re-posted 14 days ago

Job description

Job Summary

The Enterprise Risk Manager has an essential role in managing risks and implementing a risk management program to minimize risk to MX and its customers. . As a member of the Compliance and Privacy department, the Risk Manager will be responsible for identifying, analyzing, and mitigating risk across the enterprise by collaborating with others across MX. There is a special focus on AI risk for both platform/product use and corporate use.  To be successful in this role, the Risk Manager will need a strong understanding of risk management principles, business acumen, measurement skills, and strong collaboration.

Job Duties

  • Conduct periodic risk assessments and identify potential risks and vulnerabilities

  • Assess current controls to determine effectiveness in mitigating risks. 

  • Document and monitor risk mitigation and remediation actions to report to the Risk Committee and escalate as needed. 

  • Provide support for internal stakeholders as it relates to risk management processes and controls

  • Track risks in the risk register using a GRC tool and publish dashboards with the risk health of organizational functions 

  • Facilitate Risk Committee Meetings, establishing the agenda, and documenting minutes with follow up actions. 

  • Represent MX in various communities focusing on risk in the finance industry.

  • Be an advocate for safe AI adoption; driving risk analysis for AI use across MX platform and corporate, vendors, and data recipient customers. 

 Basic Qualifications
  • Bachelor's degree in Risk Management, Business Administration, Finance, Information Systems, Cybersecurity, or a related field, or equivalent practical experience.
  • 5+ years of experience in Enterprise Risk Management (ERM), Operational Risk, Governance, Risk & Compliance (GRC), Information Security Risk, or a related discipline.
  • Experience conducting enterprise risk assessments and developing risk mitigation plans.
  • Experience using Governance, Risk & Compliance (GRC) platforms (e.g., ServiceNow GRC, Archer, OneTrust, MetricStream, AuditBoard, or similar).
Preferred Qualifications
  • Experience in fintech, financial services, banking, payments, or another highly regulated industry.
  • Experience developing or supporting enterprise AI governance and AI risk management programs.
  • Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework (AI RMF) or ISO/IEC 42001.
  • Experience assessing third-party/vendor risk, including AI vendors and cloud service providers.
  • Knowledge of regulatory requirements related to financial institutions, privacy, and information security (e.g., FFIEC guidance, GDPR, CCPA, SOC 2, ISO 27001, PCI DSS).
  • Professional certifications such as: CRMP, CRISC, CISA, CISM

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