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Ai Risk Analyst Jobs in Georgia (NOW HIRING)

We are looking for a Reinsurance Analyst to support financial reporting, risk analysis, and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

... risk identification, and drafting quality. * Provide clear, actionable feedback to improve AI-generated contract analysis and redlining outputs. * Develop objective evaluation frameworks, rubrics ...

Practical experience using AI tools (e.g., Claude, ChatGPT, Copilot), including prompt-driven document analysis, control narrative drafting, and risk assessment. Ability to critically evaluate AI ...

... AI risk. * Implement data stewardship, issue management, and measurable defect‑reduction processes. * Oversee the lifecycle of high‑value data products and partner with engineering/analytics to ...

Practical experience using AI tools (e.g., Claude, ChatGPT, Copilot), including prompt-driven document analysis, control narrative drafting, and risk assessment. Ability to critically evaluate AI ...

Practical experience using AI tools (e.g., Claude, ChatGPT, Copilot), including prompt-driven document analysis, control narrative drafting, and risk assessment. Ability to critically evaluate AI ...

Leverage AI tooling to draft control narratives, risk memos, WCGW analyses, and scoping recommendations, accelerating throughput across a high-volume readiness portfolio while maintaining audit ...

Leverage AI tooling to draft control narratives, risk memos, WCGW analyses, and scoping recommendations, accelerating throughput across a high-volume readiness portfolio while maintaining audit ...

About Crisis24 Crisis24 is a global, AI-enhanced provider of travel risk management, mass ... The analyst will produce customized intelligence products addressing client-specific requirements ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Showing results 41-60

Ai Risk Analyst information

See Georgia salary details

$12

$34

$55

How much do ai risk analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai risk analyst in Georgia is $34.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.19 and $41.59 per hour, depending on experience, location, and employer.

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

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

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What cities in Georgia are hiring for Ai Risk Analyst jobs?

Cities in Georgia with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Georgia as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $71,105 per year, or $34.2 per hour.

Director, AI Strategy & Execution

Lexisnexis Risk Solutions

Alpharetta, GA • On-site

Full-time

Posted 21 days ago


Job description

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk athttps://risk.lexisnexis.com/

About the Role

We are seeking a visionary, results-oriented AI Strategy & Execution Leader to accelerate the adoption and business impact of Artificial Intelligence across the Product Delivery and Consulting and broader Global Consulting and Operations organization. This leader will be responsible for defining and driving our AI strategy, managing a portfolio of AI initiatives, and ensuring successful execution, value realization, and disciplined tracking of measurable results across business functions.

The ideal candidate is both strategic and operational. They can identify transformative opportunities, align stakeholders around a common vision, and drive execution through complex, matrixed environments. They possess the ability to connect business objectives with emerging AI capabilities, transforming innovative ideas into practical, scalable solutions that deliver measurable outcomes.

In addition to overseeing AI strategy and delivery, this leader will champion enterprise AI adoption through training, communications, change management, and employee engagement programs. They will lead our GCO Team Effectiveness Challenge, creating a culture of innovation while establishing mechanisms to capture, evaluate, prioritize, and scale AI-driven opportunities across the organization.

This role requires exceptional collaboration, communication, and influence skills, as well as a passion for continuous improvement, operational excellence, and business transformation through AI.

Preferred candidate is local to the following offices for occasional in-person meetings: Alpharetta, GA, Dayton, OH, Boca Raton, FL

Responsibilities

  • Define and maintain the AI strategy, roadmap, and enterprise priorities.
  • Lead and govern the PDC AI portfolio from idea intake through execution, adoption, and scale.
  • Drive team effectiveness, AI adoption, training, communications, and champion engagement across the organization.
  • Influence cross-functional leaders and stakeholders to align priorities, remove barriers, and deliver outcomes.
  • Track measurable results, adoption, productivity gains, efficiency improvements, and ROI.
  • Create executive-ready communications, thought leadership, and progress narratives that demonstrate value.

Experience Level: Senior Leader with a passion for driving change and progress
Requirements

  • Bachelor's degree in Business, Technology, Data Science, Engineering, Organizational Leadership, or a related field.
  • 8+ years of experience in strategy, transformation, program leadership, management consulting, product management, organizational effectiveness, or related disciplines.
  • 2+ years of experience leading enterprise-wide initiatives involving AI, automation, advanced analytics, digital transformation, or emerging technologies.
  • Demonstrated success driving large-scale, cross-functional programs within highly matrixed organizations.
  • Proven ability to influence stakeholders and achieve outcomes without direct authority.
  • Experience developing enterprise strategies, roadmaps, governance models, and execution frameworks.
  • Strong program and portfolio management experience, including prioritization, resource management, risk management, and executive reporting.
  • Exceptional written, verbal, and presentation communication skills.
  • Experience developing executive communications, strategic documentation, and business narratives.
  • Strong analytical and problem-solving abilities with experience measuring business outcomes and ROI.
  • Experience leading organizational change management and adoption initiatives.

Preferred Qualifications

  • Experience building and leading enterprise AI adoption programs or Centers of Excellence.
  • Experience managing innovation programs, team effectiveness initiatives, hackathons, idea incubators, or continuous improvement programs.
  • Experience developing and leading AI Champion or Ambassador networks.
  • Experience designing and delivering enterprise learning, training, and enablement programs.
  • Deep understanding of Generative AI, AI agents, machine learning, automation platforms, and responsible AI practices.
  • Experience partnering with communications, learning, technology, and business teams to drive enterprise-wide adoption.
  • Management consulting or transformation consulting experience preferred.
  • MBA or advanced degree in Business, Technology, Data Science, Organizational Leadership, or a related field.
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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