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Ai Risk Analyst Jobs in Ohio (NOW HIRING)

US Bank

AI Risk Program Manager

Cincinnati, OH · On-site

We are seeking an experienced AI technology risk manager to support the build and execution of our ... Strong analytical, problem-solving, and judgment skills in complex risk scenarios * Clear ...

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US Bank

Fraud Risk Analyst

Cincinnati, OH · On-site

$92K - $109K/yr

Leverages Copilot AI to streamline data preparation, automate trend analysis, and generate ... risk and operations management associated with the product lines - Strong analytical skills ...

Techlink Systems Inc

IT Project Manager

Marysville, OH

$90K - $107K/yr

... AI standards, SR 11-7 model risk guidance ). Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). Strong analytical, problem ...

Techlink Systems Inc

IT Project Manager

Marysville, OH

$90K - $107K/yr

... AI standards, SR 11-7 model risk guidance ). Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). Strong analytical, problem ...

Techlink Systems

Be Seen First

IT Project Manager - (CM2026)

Marysville, OH · On-site

$86.95/hr

... AI standards, SR 11-7 model risk guidance). * Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). * Strong analytical, problem ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai risk analyst in Ohio is $38.49, according to ZipRecruiter salary data. Most workers in this role earn between $28.32 and $46.83 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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

AI Risk Manager

TechLink Systems, Inc.

Marysville, OH

Other

Posted 12 days ago

Job description

JOB RESPONSIBILITIES 

  • Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks. 
  • Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs. 
  • Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams. 
  • Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement). 
  • Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence). 
  • Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements). 
  • Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations. 
  • Track AI risk metrics, incidents, and remediation actions; prepare reports for leadership, risk committees, and regulators. 
  • Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring. 
  • Assist with AI policy training, awareness, and communication to drive adoption of governance practices across the organization. 
  • Contribute to the maturation of AI governance capabilities, including tooling, automation, and integration into enterprise risk and technology processes 


What Will This Person Be Working On 
The AI Risk Management Administrator is responsible for supporting both the establishment and ongoing operation of the enterprise AI governance and risk management framework. This role plays a key part in defining, implementing, and maturing AI governance structures while ensuring AI systems are developed, deployed, and operated in alignment with regulatory requirements, ethical standards, internal policies, and the organization’s risk appetite. The Administrator partners with business, IT, legal, security, and compliance teams to operationalize governance, monitor AI risks, maintain documentation, and enable responsible and scalable AI practices across the enterprise 
WANTS 

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field. 
  • 5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk). 
  • Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance). 
  • Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities. 
  • Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance). 
  • Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance). 
  • Strong analytical, problem-solving, and stakeholder management skills.

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