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Ai Risk Analyst Jobs in Michigan (NOW HIRING)

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AI Governance & Risk Analyst

Novi, MI · On-site

... Risk Analyst (P4) , you will serve as a senior individual contributor responsible for supporting the operational governance framework that enables the safe, compliant, and scalable adoption of AI ...

New

CSAA

$62.25 - $80.50/hr

... researching, analyzing, designing, proposing, and delivering business solutions that are ... Knowledge of AI threat modeling and AI risk management frameworks, ideally NIST AI RMF.

Corning

AI Governance Operations Analyst Are you looking to be part of a global innovator in materials ... risk, responsible AI attributes, versioning, metadata, and lifecycle status are maintained ...

Deloitte

Financial Risk Manager

Detroit, MI · On-site

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

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How much do ai risk analyst jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for ai risk analyst in Michigan is $35.29, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.93 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 Michigan?

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

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

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

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

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

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $73,397 per year, or $35.3 per hour.

AI Governance & Risk Analyst

Novi, MI • On-site

Harman International Industries
Manufacturing • 10K+ employees
Learn more about Harman International Industriesexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
About the Role
As a Governance & Risk Analyst (P4), you will serve as a senior individual contributor responsible for supporting the operational governance framework that enables the safe, compliant, and scalable adoption of AI across HARMAN. You will manage governance processes, risk workflows, and control activities that ensure AI initiatives meet enterprise standards for compliance, transparency, and accountability. This role requires strong analytical, operational, and stakeholder management skills to maintain governance effectiveness while enabling innovation. You will work across business, technology, security, legal, and compliance teams to ensure AI solutions are appropriately assessed, documented, monitored, and governed throughout their lifecycle.
Your Team
You will be a senior individual contributor partnering with AI product teams, platform teams, risk and compliance functions, legal teams, security teams, and business stakeholders to support governance operations, risk management processes, and responsible AI adoption across the enterprise.
What You Will Do
  • Administer risk-tiering workflows to ensure AI use cases are assessed and routed through the appropriate governance and review processes.
  • Manage intake processes and maintain high quality governance and risk data for Ai initiatives, applications, and platform capabilities.
  • Review submissions for completeness and ensure required documentation, evidence, approvals, and control artifacts are properly maintained.
  • Track governance exceptions, remediation actions, waivers, and risk acceptance decisions, ensuring timely follow-up and resolution.
  • Monitor reassessment triggers and lifecycle review requirements to ensure AI solutions remain compliant with evolving governance standards.
  • Develop and maintain governance dashboards, KPIs, metrics, and reporting that provide visibility into portfolio risk, compliance status, and operational effectiveness.
  • Support audits, assessments, and regulatory inquiries by maintaining accurate records and providing governance evidence as required.
  • Partner with business, security, legal, and compliance stakeholders to improve governance processes, controls, and operational efficiency.
  • Identify opportunities to improve governance workflows, data quality, reporting accuracy, and risk management practices.
  • Contribute to the development and maintenance of AI governance policies, procedures, standards, and operating models.

What You Need
  • Bachelor's degree in Business, Information Systems, Risk Management, Compliance, Engineering, or a related field, with 6+ years of experience in governance, risk management, compliance, PMO, operations, or related disciplines.
  • Strong understanding of governance frameworks, operational controls, risk assessment processes, audit readiness, and documentation management.
  • Experience managing workflows, data quality processes, reporting, and operational controls in a regulated or governance-driven environment.
  • Knowledge of AI governance, technology risk management, data governance, cybersecurity, or related enterprise control frameworks.
  • Proven ability to work independently, manage multiple stakeholders, and drive process discipline through strong analytical and organizational skills.

What is Nice to Have
  • Experience supporting AI governance, responsible AI, model risk management, or emerging technology governance programs.
  • Certifications such as CRISC, CISA, CGRC, PMP, Lean Six Sigma, or similar governance, risk, and compliance credentials.
  • Experience with governance, workflow, and reporting platforms such as ServiceNow, Jira, Power BI, Archer, or similar tools.
  • Experience working in global, matrixed organizations with cross-functional governance and compliance requirements.

What Makes You Eligible
  • Willingness to travel 20% of the time .
  • Willingness to work hybrid in the HARMAN Novi, MI office 3+ days a week.
  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.
  • What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more).
  • Extensive training opportunities through our own HARMAN University.
  • Competitive wellness benefits.
  • Tuition reimbursement.
  • "Be Brilliant" employee recognition and rewards program.
  • An inclusive and diverse work environment that fosters and encourages professional and personal development.

#LI-SB1
Salary Ranges:
$ 108,750 - $ 159,500
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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