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Ai Risk Manager Jobs (NOW HIRING)

LinQ Global

$72/hr

Manage and enhance AI use case intake, triage, risk classification, approvals, and tracking processes. * Perform risk and compliance assessments for AI and Generative AI use cases. * Evaluate AI ...

Lincoln Financial

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

Lincoln Financial

Analyst, AI Risk Management

Radnor, PA · On-site

$72K - $131K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

Lincoln Financial

Analyst, AI Risk Management

Radnor, PA · Hybrid

$72K - $131K/yr

Requisition #: 76178 The Role at a Glance This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex ...

Wsgr

Senior AI Risk Advisor

San Francisco, CA · On-site +1

The Senior AI Risk Advisor, under the direction of the Manager of Risk Operations, sits at the intersection of cutting-edge AI technology and enterprise risk - a unique opportunity to shape how one ...

Robert Half

AI Risk & Compliance Analyst

New York, NY · On-site

$65 - $75/hr

Manage and enhance the AI use case intake process , including: * Triage, risk categorization, stakeholder routing, approval tracking, and follow-ups * Conduct AI risk and compliance reviews for new ...

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Ai Risk Manager information

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$51.5K

$111.6K

$170K

How much do ai risk manager jobs pay per year?

As of Jul 1, 2026, the average yearly pay for ai risk manager in the United States is $111,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $129,000.00 per year, depending on experience, location, and employer.

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.

More about Ai Risk Manager jobs
What cities are hiring for Ai Risk Manager jobs? Cities with the most Ai Risk Manager job openings:
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Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $111,556 per year, or $53.6 per hour.

AI Risk & Compliance Analyst

LinQ Global

$72/hr

Contractor

Posted 14 days ago

Key responsibilities

  • Manage and enhance AI use case intake, triage, risk classification, approvals, and tracking processes.

  • Perform risk and compliance assessments for AI and Generative AI use cases.

  • Evaluate AI tools, platforms, vendors, and processes for privacy, security, regulatory, intellectual property, bias, transparency, and operational risks.

Job description

AI Risk & Compliance Analyst

Location: New York, NY or Charlotte, NC
Duration: 6-Month Contract

Overview

We are seeking an experienced AI Risk & Compliance Analyst to support the governance, risk assessment, and compliance review of AI initiatives across the organization. This is a hands-on role focused on AI governance, responsible AI practices, regulatory compliance, and risk management. The ideal candidate will help improve AI intake and review processes, assess AI-related risks, maintain governance documentation, and collaborate with cross-functional teams to ensure AI activities align with legal, privacy, security, and regulatory requirements.

Key Responsibilities
  • Manage and enhance AI use case intake, triage, risk classification, approvals, and tracking processes.
  • Perform risk and compliance assessments for AI and Generative AI use cases.
  • Evaluate AI tools, platforms, vendors, and processes for privacy, security, regulatory, intellectual property, bias, transparency, and operational risks.
  • Maintain AI governance inventories, including use cases, vendors, risk ratings, approvals, and control requirements.
  • Translate regulatory and governance requirements into practical risk assessment criteria and control frameworks.
  • Partner with Legal, Privacy, Security, Procurement, Technology, and business teams on reviews, approvals, remediation plans, and ongoing monitoring.
  • Support third-party AI risk assessments and vendor governance reviews.
  • Develop and maintain AI governance artifacts, workflows, documentation, reporting, and metrics.
  • Track and report on AI governance activities, risk trends, remediation efforts, and compliance status.
Required Qualifications
  • 5+ years of experience in Governance, Risk & Compliance (GRC), Information Security, Privacy, Technology Risk, Audit, Third-Party Risk, Model Risk, or related fields.
  • 2+ years of hands-on experience in AI Governance, Responsible AI, AI Risk Management, AI Compliance, Machine Learning Governance, or Emerging Technology Risk.
  • Experience reviewing Generative AI, Machine Learning, SaaS-based AI solutions, automated workflows, and analytics platforms.
  • Strong understanding of AI-related risks including:
    • Data leakage and confidential data exposure
    • Privacy and regulatory compliance
    • Intellectual property concerns
    • Hallucination and accuracy risks
    • Bias and fairness considerations
    • Automated decision-making and transparency
    • Vendor and third-party AI risks
    • Human oversight and governance controls
Preferred Qualifications
  • Experience establishing or improving AI governance and review frameworks.
  • Experience managing AI use case, model, or automated decisioning inventories.
  • Experience working in large, matrixed enterprise environments.
  • Familiarity with GRC and workflow tools such as Jira, SharePoint, OneTrust, Archer, MetricStream, or similar platforms.
  • Experience creating governance dashboards, executive reporting, KPIs, and operational metrics.
  • Relevant certifications preferred: AIGP, CISA, CRISC, CISM, CISSP, CDPSE, ISO 27001, ISO 42001, or equivalent.