AI Risk and Governance Lead (OH, US)
Budget / Salary$112,000–140,000
TypeFull-time job
LocationUnited States
Posted1 hour ago
Location: Remote: Eastern or Central Time Zone location preferred
Employment Status: Salary Full-Time
Function: Information Technology
Pay Grade and Range: AFY000-P4 ($112,000 - $140,000)
Bonus Plan: AIP
Target Bonus: 15.0
Recruiter: Robert TalleyReq ID: 30004
Position Summary
The AI Risk and Governance Lead is responsible for establishing, implementing, and overseeing the organization's AI governance framework, ensuring artificial intelligence solutions are deployed responsibly, ethically, securely, and in compliance with applicable laws, regulations, and company policies.
This role serves as the critical bridge between Legal, Enterprise Risk Management (ERM), Cybersecurity, Privacy, Internal Audit, Technology, Data Science, and Business teams to ensure AI solutions align with enterprise risk tolerance and regulatory expectations.
The AI Risk and Governance Lead translates emerging AI regulations, ethical principles, and risk requirements into practical, scalable guardrails that enable responsible innovation rather than create barriers to business value. The role will establish governance processes, operationalize regulatory requirements, and ensure AI risks are proactively identified, assessed, monitored, and managed throughout the AI lifecycle.
Primary Responsibility
Serve as the enterprise lead for AI Risk and Governance by translating evolving AI regulations, risk management frameworks, and responsible AI principles into practical governance controls, standards, and operating procedures that enable safe, compliant, and scalable AI adoption across the organization.
Key Responsibilities
AI Governance Strategy
Develop and maintain the enterprise AI governance framework, policies, standards, and operating model.
Establish governance processes across the AI lifecycle, including development, acquisition, deployment, monitoring, and retirement.
Lead governance committees and facilitate executive-level discussions regarding AI opportunities, risks, and compliance obligations.
Define roles, responsibilities, decision rights, and accountability mechanisms for AI oversight.
Regulatory and Framework Operationalization
Operationalize emerging AI regulations and industry-leading frameworks, including:
EU AI Act
NIST AI Risk Management Framework (AI RMF)
Responsible AI and industry best practices
Translate regulatory and ethical requirements into practical controls, standards, review processes, and implementation guidance.
Monitor emerging AI legislation, regulatory developments, and enforcement activities and assess organizational impacts.
Key Responsibilities (Continued)
AI Risk Management
Design and implement enterprise AI risk assessment methodologies and governance controls.
Lead AI risk assessments with a particular focus on high-risk, regulated, customer-facing, and business-critical use cases.
Identify, assess, mitigate, and monitor risks including:
Bias and fairness risks
Privacy and data protection risks
Cybersecurity risks
Intellectual property and copyright risks
Regulatory compliance risks
Model performance and reliability risks
Reputational risks
Third-party and vendor risks
Develop and maintain an enterprise AI risk tiering model to classify use cases and determine governance requirements based on risk exposure.
Maintain inventories of AI systems, models, and use cases.
Key Responsibilities (Continued)
Responsible AI and Controls
Establish standards and procedures for:
Human-in-the-loop review and oversight
Transparency and explainability
Bias testing and fairness assessments
Model monitoring and drift detection
Data retention and governance
Intellectual property protection
AI incident management and escalation
Ongoing performance monitoring and validation
Ensure responsible AI principles are embedded into AI design, development, deployment, and monitoring activities.
Review and challenge high-risk AI use cases and provide governance recommendations.
Vendor AI Governance
Evaluate third-party AI solutions, vendor-provided AI capabilities, and embedded AI tools through a risk, compliance, privacy, cybersecurity, and legal lens.
Establish AI vendor due diligence, assessment, and monitoring procedures.
Partner with Procurement, Legal, Security, and Privacy teams to assess risks associated with external AI technologies and suppliers.
Key Responsibilities (Continued)
Cross-Functional Collaboration
Serve as the primary liaison across Legal, ERM, Cybersecurity, Privacy, Internal Audit, Technology, Data Science, and Business functions.
Partner with stakeholders to integrate AI governance requirements into existing risk and control frameworks.
Advise business leaders and project teams on AI-related risks, regulatory obligations, and governance requirements.
Promote risk-informed decision-making while enabling innovation and business outcomes.
Assurance, Audit, and Compliance
Partner with Enterprise Risk Management and Internal Audit to establish AI assurance processes and governance reviews.
Support internal and external audits of AI controls and governance programs.
Develop control testing, monitoring, and remediation processes to assess governance effectiveness.
Track and oversee remediation of identified AI-related risks and control gaps.
Key Responsibilities (Continued)
Monitoring, Reporting, and Metrics
Develop key performance indicators (KPIs), key risk indicators (KRIs), dashboards, and governance reporting.
Provide regular updates to executive leadership, governance committees, and risk oversight bodies.
Monitor compliance with AI governance standards and risk management requirements.
Training and Change Management
Develop and deliver AI governance, responsible AI, and risk awareness programs.
Foster a culture that balances innovation with accountability and regulatory compliance.
Drive adoption of governance processes and responsible AI practices across the enterprise.
Required Qualifications
Bachelor's degree in Risk Management, Business, Computer Science, Information Technology, Data Science, Cybersecurity, Law, or a related field.
8+ years of experience in risk management, governance, compliance, audit, cybersecurity, privacy, data governance, or related disciplines.
3+ years of experience supporting AI, machine learning, advanced analytics, or emerging technology governance programs.
Experience designing and implementing enterprise governance frameworks and operating models.
Demonstrated knowledge of:
AI and machine learning concepts
Responsible AI principles
Enterprise Risk Management practices
Privacy and data protection requirements
Cybersecurity controls
Model governance and model risk management
AI regulations and governance frameworks (including EU AI Act and NIST AI RMF)
Strong executive communication, influence, and stakeholder management skills.
Ability to travel regionally as needed 5% of the time
Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.
Originally posted on Himalayas
Employment Status: Salary Full-Time
Function: Information Technology
Pay Grade and Range: AFY000-P4 ($112,000 - $140,000)
Bonus Plan: AIP
Target Bonus: 15.0
Recruiter: Robert TalleyReq ID: 30004
Position Summary
The AI Risk and Governance Lead is responsible for establishing, implementing, and overseeing the organization's AI governance framework, ensuring artificial intelligence solutions are deployed responsibly, ethically, securely, and in compliance with applicable laws, regulations, and company policies.
This role serves as the critical bridge between Legal, Enterprise Risk Management (ERM), Cybersecurity, Privacy, Internal Audit, Technology, Data Science, and Business teams to ensure AI solutions align with enterprise risk tolerance and regulatory expectations.
The AI Risk and Governance Lead translates emerging AI regulations, ethical principles, and risk requirements into practical, scalable guardrails that enable responsible innovation rather than create barriers to business value. The role will establish governance processes, operationalize regulatory requirements, and ensure AI risks are proactively identified, assessed, monitored, and managed throughout the AI lifecycle.
Primary Responsibility
Serve as the enterprise lead for AI Risk and Governance by translating evolving AI regulations, risk management frameworks, and responsible AI principles into practical governance controls, standards, and operating procedures that enable safe, compliant, and scalable AI adoption across the organization.
Key Responsibilities
AI Governance Strategy
Develop and maintain the enterprise AI governance framework, policies, standards, and operating model.
Establish governance processes across the AI lifecycle, including development, acquisition, deployment, monitoring, and retirement.
Lead governance committees and facilitate executive-level discussions regarding AI opportunities, risks, and compliance obligations.
Define roles, responsibilities, decision rights, and accountability mechanisms for AI oversight.
Regulatory and Framework Operationalization
Operationalize emerging AI regulations and industry-leading frameworks, including:
EU AI Act
NIST AI Risk Management Framework (AI RMF)
Responsible AI and industry best practices
Translate regulatory and ethical requirements into practical controls, standards, review processes, and implementation guidance.
Monitor emerging AI legislation, regulatory developments, and enforcement activities and assess organizational impacts.
Key Responsibilities (Continued)
AI Risk Management
Design and implement enterprise AI risk assessment methodologies and governance controls.
Lead AI risk assessments with a particular focus on high-risk, regulated, customer-facing, and business-critical use cases.
Identify, assess, mitigate, and monitor risks including:
Bias and fairness risks
Privacy and data protection risks
Cybersecurity risks
Intellectual property and copyright risks
Regulatory compliance risks
Model performance and reliability risks
Reputational risks
Third-party and vendor risks
Develop and maintain an enterprise AI risk tiering model to classify use cases and determine governance requirements based on risk exposure.
Maintain inventories of AI systems, models, and use cases.
Key Responsibilities (Continued)
Responsible AI and Controls
Establish standards and procedures for:
Human-in-the-loop review and oversight
Transparency and explainability
Bias testing and fairness assessments
Model monitoring and drift detection
Data retention and governance
Intellectual property protection
AI incident management and escalation
Ongoing performance monitoring and validation
Ensure responsible AI principles are embedded into AI design, development, deployment, and monitoring activities.
Review and challenge high-risk AI use cases and provide governance recommendations.
Vendor AI Governance
Evaluate third-party AI solutions, vendor-provided AI capabilities, and embedded AI tools through a risk, compliance, privacy, cybersecurity, and legal lens.
Establish AI vendor due diligence, assessment, and monitoring procedures.
Partner with Procurement, Legal, Security, and Privacy teams to assess risks associated with external AI technologies and suppliers.
Key Responsibilities (Continued)
Cross-Functional Collaboration
Serve as the primary liaison across Legal, ERM, Cybersecurity, Privacy, Internal Audit, Technology, Data Science, and Business functions.
Partner with stakeholders to integrate AI governance requirements into existing risk and control frameworks.
Advise business leaders and project teams on AI-related risks, regulatory obligations, and governance requirements.
Promote risk-informed decision-making while enabling innovation and business outcomes.
Assurance, Audit, and Compliance
Partner with Enterprise Risk Management and Internal Audit to establish AI assurance processes and governance reviews.
Support internal and external audits of AI controls and governance programs.
Develop control testing, monitoring, and remediation processes to assess governance effectiveness.
Track and oversee remediation of identified AI-related risks and control gaps.
Key Responsibilities (Continued)
Monitoring, Reporting, and Metrics
Develop key performance indicators (KPIs), key risk indicators (KRIs), dashboards, and governance reporting.
Provide regular updates to executive leadership, governance committees, and risk oversight bodies.
Monitor compliance with AI governance standards and risk management requirements.
Training and Change Management
Develop and deliver AI governance, responsible AI, and risk awareness programs.
Foster a culture that balances innovation with accountability and regulatory compliance.
Drive adoption of governance processes and responsible AI practices across the enterprise.
Required Qualifications
Bachelor's degree in Risk Management, Business, Computer Science, Information Technology, Data Science, Cybersecurity, Law, or a related field.
8+ years of experience in risk management, governance, compliance, audit, cybersecurity, privacy, data governance, or related disciplines.
3+ years of experience supporting AI, machine learning, advanced analytics, or emerging technology governance programs.
Experience designing and implementing enterprise governance frameworks and operating models.
Demonstrated knowledge of:
AI and machine learning concepts
Responsible AI principles
Enterprise Risk Management practices
Privacy and data protection requirements
Cybersecurity controls
Model governance and model risk management
AI regulations and governance frameworks (including EU AI Act and NIST AI RMF)
Strong executive communication, influence, and stakeholder management skills.
Ability to travel regionally as needed 5% of the time
Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.