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Ai Risk Analyst Jobs in Alabama (NOW HIRING)

Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging ... Supply Chain Risk Analyst Location: Huntsville, Alabama Work Environment: Hybrid Clearance: Active ...

In this role, you will support mission-critical programs, work alongside experts in AI and risk analytics, and deliver insights that directly impact national security decision-making. Why You'll Love ...

Associate II, Risk Analyst

Birmingham, AL · On-site +1

$70K - $100K/yr

Research and leverage AI to build advanced analytical techniques to examine and derive risk insights, metrics, and attribution. * Expand understanding of the company's financials under different ...

Research and leverage AI to build advanced analytical techniques to examine and derive risk insights, metrics, and attribution. * Expand understanding of the company's financials under different ...

... AI and emerging technology risks Oversees development of risk scenarios, loss-event libraries, threat intelligence inputs, and control effectiveness analyses to support risk measurement activities.

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Ai Risk Analyst information

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$13

$36

$59

How much do ai risk analyst jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for ai risk analyst in Alabama is $36.70, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $44.66 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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 cities in Alabama are hiring for Ai Risk Analyst jobs? Cities in Alabama with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Alabama as of July 2026, with employment types broken down into 71% Full Time, 20% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $76,327 per year, or $36.7 per hour.
Supply Chain Risk Analyst

Supply Chain Risk Analyst

Exiger

Huntsville, AL • On-site

Full-time

Medical, Dental, Vision

Posted 6 days ago


Job description

Who We Are:
Exiger transforms supply chains into a strategic advantage, advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers, including Fortune 500 companies and U.S. government agencies, Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP® authorized provider to the federal government.
Supply Chain Risk Analyst
Location: Huntsville, Alabama
Work Environment: Hybrid
Clearance: Active Secret required at minimum
Role Summary
Exiger is seeking a Supply Chain Risk Analyst to support Department of Defense and national security customers in identifying, assessing, and mitigating supply chain risks impacting mission-critical programs. This role combines supply chain analysis, supplier risk assessment, data-driven research, and operational support to help government stakeholders make informed decisions regarding resilience, sourcing strategies, and mission assurance. Reporting to Government Delivery leadership, the analyst will work with proprietary and government-furnished data to evaluate supplier networks, identify vulnerabilities, assess potential impacts, and support development of actionable mitigation strategies.
What You'll Do:
  • Conduct supply chain risk assessments across critical technologies, suppliers, and programs
  • Analyze supplier networks to identify vulnerabilities, dependencies, and potential points of failure
  • Research supplier ownership structures, geographic exposure, and foreign influence risks
  • Support development of risk mitigation recommendations and alternate sourcing strategies
  • Analyze supply chain disruptions and assess operational impacts
  • Validate and maintain supply chain data from multiple sources
  • Produce recurring reports, briefings, and decision-support products for government stakeholders
  • Track risk mitigation activities and support action management processes
  • Support onboarding and enrichment of new supply chain datasets
  • Document methodologies, findings, and supporting evidence in accordance with program requirements
What You Need:
  • Strong analytical and problem-solving skills
  • Experience working with data and conducting structured research
  • Proficiency with Excel and familiarity with SQL, Python, Tableau, Power BI, or similar analytical tools
  • Ability to communicate complex findings clearly to technical and non-technical audiences
  • Strong attention to detail and ability to manage multiple priorities
Professional Experience Required:
  • 2-5+ years of experience in supply chain analysis, logistics, intelligence analysis, operations research, risk analysis, or related fields
  • Experience analyzing structured datasets and producing analytical reports
  • Experience supporting government, defense, aerospace, intelligence, or highly regulated environments
  • Active Secret clearance required
  • Ability to obtain and maintain additional clearances as required
Preferred Qualifications:
  • Experience with supply chain risk management (SCRM)
  • Familiarity with defense acquisition, logistics, sustainment, or industrial base programs
  • Knowledge of CAGE codes, NSNs, DLA, GIDEP, SAM.gov, or related defense data sources
  • Experience with OSINT research methodologies
  • Familiarity with supplier risk, third-party risk, or vendor assessment processes
Why Exiger:
Exiger is transforming how governments understand and manage supply chain risk. In this role, you will support mission-critical programs, work alongside experts in AI and risk analytics, and deliver insights that directly impact national security decision-making.
Why You'll Love Working at Exiger:
  • High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence
  • Discretionary Time Off with no maximum limits
  • Industry-leading health, vision, and dental benefits
  • Competitive compensation package
  • 16 weeks of fully paid parental leave
  • Flexible, hybrid approach to working
  • Wellness stipends and employee health programming
  • Career development support and certification reimbursement

#Li-Hybrid
Exiger is named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn.
At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused-committed to building technology that makes the world safer, more transparent, and more resilient.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.