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How much do assistant adventist risk management jobs pay per year?

As of Jun 26, 2026, the average yearly pay for assistant adventist risk management in the United States is $48,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $48,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Adventist Risk Management jobs? The most popular types of Adventist Risk Management jobs are:
Assistant Adventist Risk Management jobs near you
A map of the United States highlighting the number of Assistant Adventist Risk Management job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Assistant Adventist Risk Management job openings in each state, with California having the most at 2 and Hawaii the least at 0.
AI Risk Management Admin/Specialist

AI Risk Management Admin/Specialist

TechLink Systems, Inc.

Marysville, OH • On-site

Other

Posted 28 days ago

Job description

Job Title: AI Risk Management Administrator
Location: Marysville, OH, 43040 (On-site)

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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