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Ai Risk Analyst Jobs in Columbia, SC (NOW HIRING)

... Risk Management, Copilot/AI data security, auditing, vendor security reviews, and device patching ... The analyst will review and triage security alerts, investigate access and movement of sensitive ...

... AI, Copilot, DLP, Insider Risk, auditing, and vendor security, and device patching. The analyst will review and triage security alerts, investigate access and movement of sensitive information ...

... risk management tools, and data security posture management for AI (DSPM for AI). * 3 years experience reviewing and triaging data related security alerts, analyzing access and movement of sensitive ...

... AI risk, security, privacy, and compliance requirements into practical architecture patterns ... Review and design system software and hardware builds analyzing system options, risks, cost vs ...

Become a part of our caring community The Risk Adjustment Coding Analyst provides operational ... Comfort working with latest tools, including AI-assisted summaries or analytics, while validating ...

AI Cyber Security Engineer Location: Columbia, SC ( Hybrid 3 days per week in office) Contract: W2 ... Expertise with threat analysis risk management, configuration management, business continuity and ...

Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball ...

Familiarity with AI/machine learning applications for parametric estimating, historical data analysis, or probabilistic cost modeling (e.g., Monte Carlo simulation tools, @Risk, Crystal Ball ...

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Ai Risk Analyst information

See Columbia, SC salary details

$14

$37

$60

How much do ai risk analyst jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for ai risk analyst in Columbia, SC is $37.45, according to ZipRecruiter salary data. Most workers in this role earn between $27.60 and $45.58 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 are popular job titles related to Ai Risk Analyst jobs in Columbia, SC?

For Ai Risk Analyst jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in Columbia, SC look for?

The top searched job categories for Ai Risk Analyst jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Ai Risk Analyst jobs?

Cities near Columbia, SC with the most Ai Risk Analyst job openings:

Infographic showing various Ai Risk Analyst job openings in Columbia, SC as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $77,905 per year, or $37.5 per hour.

Security Analyst

Columbia, SC • On-site

Contractor

Re-posted yesterday


Job description

Seeking an experienced Security Analyst for a 12 month contracted opportunity supporting cybersecurity and data protection operations located in Columbia, SC. This is a hybrid opportunity that will require 3 days in office. Candidate must be local to Columbia, SC and a current South Carolina resident.
Scope Of Project:

  • This position supports the cybersecurity and data protection operations, with a focus on DLP, Insider Risk Management, Copilot/AI data security, auditing, vendor security reviews, and device patching. The analyst will review and triage security alerts, investigate access and movement of sensitive information, perform system and vendor audits, document findings, assist with incident escalation, and work with technical and business teams to strengthen the overall security and data governance posture.

What You Will Do In This Role: Data Protection & Data Governance
  • Monitor and administer Data Loss Prevention (DLP) policies and controls. Investigate potential data loss, data exposure, and unauthorized access incidents.
  • Support Data Security Posture Management (DSPM) initiatives related to AI and Copilot.
  • Review the movement, storage, and sharing of sensitive information.
  • Assist in implementation of data classification and data handling requirements.
  • Participate in data governance initiatives and support data owners and stewards.

Security Monitoring & Incident Response
  • Review and triage security alerts from DLP, Insider Risk Management, DSPM, and other security platforms.
  • Investigate suspicious activity involving sensitive information.
  • Document findings and maintain investigation records.
  • Escalate incidents according to agency incident response procedures.
  • Assist with containment, recovery, and post-incident activities.

Insider Risk Management
  • Monitor Insider Risk Management alerts and cases.
  • Analyze user activity associated with potential policy violations.
  • Conduct investigations while maintaining confidentiality and proper chain of evidence.
  • Recommend corrective actions and risk mitigation strategies.

Vendor Security Management
  • Participate in third-party and vendor security assessments.
  • Review vendor security documentation, audit reports, and questionnaires.
  • Identify cybersecurity risks associated with third-party services.
  • Assist in tracking remediation efforts and risk acceptance decisions.

Security Auditing & Compliance
  • Support cybersecurity audits and compliance reviews.
  • Collect and analyze evidence for regulatory and policy requirements.
  • Assist with risk assessments and control validation activities.
  • Maintain documentation supporting compliance efforts.

Collaboration & Reporting
  • Work with technical and non-technical staff to address security concerns.
  • Prepare reports, metrics, and presentations regarding security risks and trends.
  • Participate in cybersecurity awareness and training initiatives.
  • Recommend improvements to security policies, procedures, and controls.

Required Experience:
  • The candidate must have 3 years experience supporting enterprise cybersecurity operations, including threat monitoring, incident response, and risk analysis.
  • The candidate must have 3 years hands-on experience working with data protection technologies such as data loss prevention (DLP), insider risk management tools, and data security posture management for AI (DSPM for AI).
  • The candidate must have 3 years experience reviewing and triaging data related security alerts, analyzing access and movement of sensitive information, documenting findings, and escalating incidents according to established procedures.
  • The candidate must also have 3 years of collaborating with technical and nontechnical teams to resolve security issues and supporting continuous improvement in the data security posture.

Preferred Experience:
  • Experience working with AI driven security tools, Cortex, particularly DSPM platforms designed to manage sensitive data used by AI systems, is preferred. Experience finetuning DLP policies, refining insider risk alerts, or supporting data governance programs is beneficial.
  • Familiarity with Azure security, identity-based access controls, conditional access, and security automation or scripting is also preferred.

Required Education:
  • Bachelor’s degree in cybersecurity, information technology, computer science, or a related field is required; equivalent experience may be considered.
  • A foundational security certification such as CompTIA Security+ or GIAC Security Essentials (GSEC) is required.
  • Preferred certifications include Microsoft SC100, SC200, CEH, or an Associate level CISSP.