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Ai Risk Manager Jobs in Ohio (NOW HIRING)

Own and execute first line of defense (1LOD) risk management for AI Software Engineering, including identification, assessment, mitigation, and ongoing monitoring of risks across the AI development ...

Own and execute first line of defense (1LOD) risk management for AI Software Engineering, including identification, assessment, mitigation, and ongoing monitoring of risks across the AI development ...

Lead AI Risk Advisor

Columbus, OH · On-site +1

$138K - $272K/yr

IAPP AI Governance Professional Certificate. * ISO/IEC 42001 Foundation/Lead Implementer ... Project Management Governance * Regulatory Risk Assessment * Stakeholder Coordination * Business ...

Manage responses to Potential Privacy Incident, in consultation with the Risk Officer, Orion ... Support Orion's AI governance program from a privacy perspective, helping implement privacy ...

New

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

Collaborate with cybersecurity, technology risk management, and risk engineering teams to implement AI solutions that improve assessment processes and reporting outcomes. * Monitor agent performance ...

Lead AI Compliance Testing

Columbus, OH · Hybrid

$151K/yr

The AI Lead will oversee and directly manage the controlled growth and governance of the department's internal AI testing tool as well as independently execute quarterly, risk-based testing ...

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Showing results 1-20

Ai Risk Manager information

How much do AI risk managers make?

AI risk managers typically earn between $100,000 and $180,000 annually, depending on experience, education, and location. Senior roles or those in high-demand industries can offer higher salaries, often supplemented with bonuses and benefits. Strong knowledge of AI systems, risk assessment, and compliance are key skills for this role.

What does an AI risk manager do?

An AI risk manager assesses and mitigates potential risks associated with artificial intelligence systems, including ethical, safety, and compliance concerns. They develop strategies to ensure AI models operate reliably and responsibly, often working with data scientists and engineers to implement risk management frameworks and monitor AI performance. Strong analytical skills and knowledge of AI ethics, regulations, and tools are essential for this role.

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

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Is AI going to replace AI Risk Manager jobs?

AI Risk Managers analyze and mitigate risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and compliance. While AI tools can assist in risk assessment, the job involves strategic decision-making and oversight that are unlikely to be fully automated in the near future.
What cities in Ohio are hiring for Ai Risk Manager jobs? Cities in Ohio with the most Ai Risk Manager job openings:
Infographic showing various Ai Risk Manager job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Full-time

Posted 13 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks


Job description

Location:

4910 Tiedeman Road, Brooklyn Ohio

Job Summary
The AI Risk Lead is responsible for providing strategic first line of defense risk leadership and advisory support for AI Software Engineering. This role oversees the identification, assessment, mitigation, and monitoring of risks associated with GenAI and AI-enabled software delivery, ensuring alignment with enterprise risk management frameworks, internal policies, and applicable regulatory expectations. The position partners with key stakeholders across the organization to embed appropriate controls across the AI software development lifecycle, strengthen governance practices, and support responsible, secure, and compliant AI adoption. The successful candidate will serve as a key risk advisor to leadership, helping to advance scalable engineering practices while maintaining strong control discipline and regulatory readiness.
Essential Functions

  • Own and execute first line of defense (1LOD) risk management for AI Software Engineering, including identification, assessment, mitigation, and ongoing monitoring of risks across the AI development lifecycle
  • Assess and evolve Project Life Cycle (PLC) and Software Development Life Cycle (SDLC) standards to support GenAI use cases, incorporating emerging regulatory expectations and industry best practices
  • Strong partnership with Domain Enablement and Risk teams to define, implement, and maintain control frameworks aligned to AI-specific risks, including:
    • Model risk (validation, performance, drift monitoring)
    • Data risk (quality, lineage, privacy, and usage rights)
    • Bias, fairness, and explainability
    • GenAI/LLM risks (prompt management, hallucination controls, output validation)
    • Third-party / foundation model usage
  • Translate regulatory and policy requirements into actionable engineering controls, ensuring alignment with internal risk frameworks (e.g., Model Risk Management, operational risk) and external regulatory expectations
  • Drive enhancements to SDLC practices, ensuring appropriate controls are embedded across:
    • Versioning, traceability, and reproducibility
    • Testing, deployment, and continuous monitoring
  • Establish and govern AI asset inventory and agent governance frameworks, including:
    • Registration and tracking of AI models and autonomous agents
    • Financial transparency (cost tracking, allocation)
    • Defined authority, decision boundaries, and human oversight controls
  • Partner with Domain Enablement, Engineering, Model Risk Management, Compliance, and Cyber teams to ensure consistent and comprehensive risk coverage across the AI ecosystem
  • Monitor control effectiveness and risk posture, including:
    • Control testing and validation
    • KRIs/KPIs for AI risk
    • Issue identification, escalation, and remediation tracking
  • Act as a trusted advisor to AI Software Engineering leadership, proactively identifying emerging risks, control gaps, and opportunities to strengthen risk-informed delivery
  • Support audit and regulatory engagement, including preparation of documentation, control evidence, and responses for internal audit and regulatory reviews
  • Provide ongoing 1LOD risk advisory and control support to AI Software Engineering team, including real-time engagement throughout the development lifecycle, proactive identification and mitigation of emerging risks, oversight of control execution, and support for issue remediation, audit inquiries, and regulatory reviews
  • Drive awareness for AI engineering teams on risk, control, and regulatory expectations to support responsible and compliant AI adoption


Education

  • Bachelor's Degree (preferred)
  • OR equivalent experience (required)


Work Experience

  • 10+ years of relevant experience (required)


Skills

  • Expert knowledge of processes, tools and techniques for assessing and controlling an organization's exposure to risks of various kinds; ability to apply knowledge of risk management appropriately to diverse situations.
  • Expert knowledge of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
  • Expert knowledge of business process design; ability to develop appropriate techniques to re-examine key processes and focus on optimizing organizational performance.
  • Expert knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
  • Extensive experience with inter-team collaboration in breaking down silos and achieving business results; ability to lead employees from various functions to communicate, coordinate work across divisions, and collaborate in solving problems as one team.
  • Expert knowledge of effective self-management practices; ability to manage multiple concurrent objectives, projects, groups, or activities, making effective judgments as to prioritizing and time allocation.
  • Expert knowledge of the necessity and value of accuracy; ability to complete tasks with high levels of precision.
  • Extensive experience with the importance of "big picture" thinking and planning; ability to apply organizational acumen and competitiveness to identify and maintain focus on key success factors for the organization.
  • Expert knowledge of effective team building techniques; ability to form and manage effective teams.
  • Expert knowledge of concepts, methods, and processes of internal control; ability to create, implement, evaluate and enhance processes in internal controls.
  • Extensive experience in regulatory environments


Core Competencies

  • All KeyBank employees are expected to demonstrate Key's Values and abide by Key's Code of Conduct.


Physical Demands

  • General Office - Prolonged sitting, ability to communicate face to face in person or on the phone with teammates and clients, frequent use of PC/laptop, occasional lifting/pushing/pulling of backpacks, computer bags up to 10 lbs.


Work Location Category

  • Hybrid (3+ days)

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 08/28/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849