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Manager Risk Manager Jobs in Columbus, OH (NOW HIRING)

Cybersecurity Risk Manager

Columbus, OH · On-site +1

$70K - $140K/yr

Manage the governance of issues through their lifecycle, from ideation to validation and subsequent closure * Execute risk assessments against defined scopes and planned initiatives in alignment with ...

Cybersecurity Risk Manager

Columbus, OH · On-site +1

$70K - $140K/yr

Manage the governance of issues through their lifecycle, from ideation to validation and subsequent closure * Execute risk assessments against defined scopes and planned initiatives in alignment with ...

Risk Manager II - AMZ9971297

Plain City, OH · On-site

$74K - $129K/yr

Risk Manager II Job Location: Plain City, Ohio Job Number: AMZ9971297 Position Responsibilities: Identify, design, develop, implement and execute new and existing processes, policies, goals, and ...

Huntington is seeking a Market Risk Specialist Sr to join our corporate Capital Markets Risk Management team. This individual will participate in all aspects of market and counterparty risk ...

Huntington is seeking a Market Risk Specialist Sr to join our corporate Capital Markets Risk Management team. This individual will participate in all aspects of market and counterparty risk ...

Huntington is seeking a Market Risk Specialist Sr to join our corporate Capital Markets Risk Management team. This individual will participate in all aspects of market and counterparty risk ...

We desire a confident individual who is able to both think strategically about risk and control management, while also being task oriented and capable of meeting the tight deadlines that often come ...

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Manager Risk Manager information

See Columbus, OH salary details

$22.2K

$59.3K

$99K

How much do manager risk manager jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager risk manager in Columbus, OH is $59,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $66,600.00 per year, depending on experience, location, and employer.

What does a risk management manager do?

A risk management manager identifies, assesses, and prioritizes potential risks to an organization, developing strategies to mitigate or manage those risks. They analyze data, implement policies, and work with other departments to reduce financial, operational, or compliance-related threats, often using tools like risk assessment software and requiring relevant certifications. Their role helps ensure organizational stability and compliance with regulations.

What is the difference between Manager Risk Manager vs Risk Analyst?

AspectManager Risk ManagerRisk Analyst
CredentialsCertifications like FRM, CRM, or CPA often preferredSimilar certifications may be beneficial but less required
Work EnvironmentOversees risk management teams, develops strategies, and manages risk policiesAnalyzes data, assesses risks, and supports risk management decisions
Employer & Industry UsageCommon in finance, insurance, and corporate sectorsUsed across finance, banking, and consulting firms

The Manager Risk Manager typically leads risk management efforts, develops policies, and manages teams, requiring advanced certifications and leadership skills. In contrast, the Risk Analyst focuses on data analysis, risk assessment, and supporting risk strategies. Both roles are vital in risk management but differ in scope, responsibilities, and seniority.

What does a Manager Risk Manager do?

A Manager Risk Manager is responsible for identifying, assessing, and mitigating potential risks that could impact an organization’s operations, reputation, or profitability. They develop risk management strategies, policies, and procedures to minimize financial losses and ensure compliance with regulations. Additionally, they often lead a team of risk professionals, provide training, and work with other departments to implement effective risk controls.

What are the key skills and qualifications needed to thrive as a Risk Manager, and why are they important?

To thrive as a Risk Manager, you need strong analytical skills, a solid understanding of risk assessment methodologies, and typically a degree in finance, business, or a related field. Familiarity with risk management software, regulatory compliance frameworks, and certifications such as FRM or CRM are commonly required. Excellent communication, decision-making, and leadership abilities help you collaborate across departments and guide risk mitigation strategies. These skills and qualifications are vital for proactively identifying threats and ensuring the organization's stability and compliance.

What are some of the common challenges faced by a Manager Risk Manager when implementing risk management frameworks across different departments?

A Manager Risk Manager often encounters challenges such as varying levels of risk awareness and compliance among departments, resistance to change, and difficulty in standardizing processes. Coordinating efforts across teams with different priorities requires strong communication and negotiation skills. Additionally, keeping up with evolving regulations and ensuring all teams are adequately trained to identify and mitigate risks is an ongoing responsibility. Addressing these challenges typically involves building strong relationships, providing targeted training, and regularly reviewing risk management processes for effectiveness.
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AI Risk Manager

Other

Posted 11 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.