1

Ai Risk Analyst Jobs in Georgia (NOW HIRING)

AI Strategist 2026- US,UK

Atlanta, GA · On-site

$116K - $151K/yr

... analytics. We partner with organizations to solve complex business problems through innovative ... Design AI operating models and governance frameworks, including responsible AI, risk management ...

Advise clients on AI Risk Management, Governance, and Security, ensuring GenAI deployments comply ... Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including ...

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 ...

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 ...

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 ...

... 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 ...

Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ... Strong technical skills in programming (Python or related), GIS, Excel, SQL, AI/ML. * General ...

Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ... Strong technical skills in programming (Python or related), GIS, Excel, SQL, AI/ML. * General ...

Support Tokio Marine Group enterprise exposure management and other risk analytics functions to ... Strong technical skills in programming (Python or related), GIS, Excel, SQL, AI/ML. * General ...

next page

Showing results 1-20

Ai Risk Analyst information

See Georgia salary details

$12

$34

$55

How much do ai risk analyst jobs pay per hour?

As of Jun 16, 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.

Is AI going to replace risk analysts?

AI risk analysts use data analysis and machine learning tools to identify and assess potential risks. While AI can automate routine tasks and enhance decision-making, risk analysts are needed to interpret complex data, apply judgment, and develop strategies, making complete replacement unlikely in the near term.

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 a high-level position in artificial intelligence, such as an AI Risk Analyst or senior AI specialist, often requiring advanced skills in machine learning, data analysis, and risk assessment. These roles may involve overseeing AI safety protocols, developing ethical guidelines, and managing complex AI systems, with compensation reflecting expertise and responsibility levels.

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 and programming skills to ensure AI deployment aligns with safety 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.

Which 3 jobs will survive AI?

For an AI Risk Analyst, jobs that require complex judgment, emotional intelligence, and creative problem-solving are more likely to survive AI automation. These include roles such as healthcare professionals, mental health counselors, and specialized technical experts. Continuous learning and skills in ethics, policy, and AI oversight will also be valuable in adapting to technological changes.

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 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 June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $71,105 per year, or $34.2 per hour.
Enterprise Portfolio, Asset & AI Governance Manager

Enterprise Portfolio, Asset & AI Governance Manager

neptune technologies

Duluth, GA

Full-time

Posted 6 hours ago


Job description

Neptune Technology Group Inc. is a technology company serving more than 4,000 water utilities across North America. We make data actionable using effective software and measurement systems that are interconnected by a smart network, with expertise and experience specifically focused on the business of water. The company’s story is rooted in loyalty to our customers and in sound stewardship. Neptune, as your most valued partner in water metering tools, technology, and connectivity, will connect you to what’s next in water. For additional information, visit www.neptunetg.com.

 

Enterprise Portfolio, Asset & AI Governance Manager

 Position Summary

As the Enterprise Portfolio, Asset & AI Governance Manager, you will manage and optimize Neptune’s application portfolio, technology asset lifecycle, and AI governance program across our enterprise landscape. You will lead the strategic evaluation, rationalization, and governance of enterprise software applications and emerging AI capabilities, ensuring optimal value delivery, cost efficiency, and alignment with business strategy.

Working as a bridge between IT leadership, business stakeholders, and vendor partners, you will manage the full lifecycle of enterprise applications from evaluation through retirement. Your responsibilities include application portfolio analysis, software license optimization, vendor relationship management, technology total cost of ownership (TCO) analysis, asset governance, AI tool intake and evaluation, and driving decisions around application consolidation, replacement, and retirement strategies.

You will establish and maintain governance processes aligned with COBIT and ITIL frameworks, ensuring Neptune’s technology portfolio is managed with industry-standard rigor and transparency.

Objectives:

  • Application Portfolio Management (35%)
    • Maintain comprehensive inventory and documentation of enterprise applications and integrations
    • Conduct regular application portfolio assessments including capability mapping, redundancy analysis, and health scoring aligned with COBIT BAI09 (Manage Assets) practices
    • Lead application rationalization initiatives to reduce complexity and eliminate redundant systems
    • Develop and maintain application lifecycle roadmaps aligned with business strategy and enterprise architecture
    • Perform business capability mapping to identify gaps and overlaps in the application portfolio
    • Create and maintain application portfolio dashboards and reporting for leadership visibility using tools such as PowerBI or Tableau
    • Apply ITIL Service Asset & Configuration Management practices to ensure accurate configuration and dependency tracking
  • Software Asset & License Management (25%)
    • Manage enterprise software licensing including renewals, compliance, and optimization across on-premises and SaaS environments
    • Conduct software license true-ups and coordinate vendor audit responses
    • Track and optimize software subscriptions, maintenance agreements, and consumption-based licensing
    • Analyze software utilization metrics to identify shelfware and optimization opportunities
    • Negotiate contract renewals and ensure favorable commercial terms with software vendors
    • Maintain software asset repository and license compliance documentation aligned with COBIT BAI09 and relevant compliance frameworks
    • Partner with procurement and legal on software contracts and vendor agreements
  • Financial Analysis & Vendor Management (20%)
    • Develop and track total cost of ownership (TCO) models for enterprise applications including cloud, SaaS, and on-premises deployments
    • Build business cases for application investments, consolidations, or retirements with clear ROI analysis
    • Manage vendor relationships for key enterprise software platforms
    • Conduct market research on emerging technologies and alternative solutions
    • Lead RFP/RFI processes for enterprise software evaluation and selection
    • Track and report on software spend, utilization, and value realization across the portfolio
    • Apply FinOps principles to optimize cloud and SaaS expenditure

 

  • AI Portfolio Governance & Enablement (10%)
    • Maintain an inventory of AI capabilities across the enterprise application portfolio, including embedded AI features (e.g., Microsoft Copilot, vendor-native AI), standalone AI tools, and internal developments
    • Lead the intake and evaluation process for new AI tools and platforms, ensuring alignment with Neptune’s AI governance framework and acceptable use policies
    • Partner with Security & Compliance on AI risk assessments including data privacy, model transparency, bias evaluation, and acceptable use
    • Collaborate with development teams and external partners to identify, prioritize, and track internal AI use cases
    • Track AI-related licensing, consumption costs, and value realization across the portfolio
    • Monitor the evolving AI landscape across key vendors to inform technology roadmap decisions
    • Support AI governance committee with portfolio data, adoption metrics, and compliance reporting

 

  • Governance & Strategic Planning (10%)
    • Establish and enforce application portfolio governance processes and standards aligned with COBIT APO02 (Manage Strategy) and BAI09 (Manage Assets) frameworks
    • Support enterprise architecture decisions with portfolio data, analysis, and recommendations
    • Participate in IT investment planning and annual budgeting processes
    • Collaborate with Security & Compliance teams on application risk assessments and audit readiness
    • Create portfolio management policies, procedures, and best practices documentation
    • Present portfolio insights and recommendations to leadership and steering committees
    • Maintain alignment with ITIL practices for service asset management and continual improvement

 

Requirements:

  • Education
    • Bachelor's degree in Computer Science, Information Systems, Business Administration, Engineering, or related field; OR equivalent combination of education and 10+ years of relevant professional experience. Master's degree preferred.
  • Experience
    • 7+ years of experience in IT with at least 3+ years in application portfolio management, software asset management, or IT financial management roles
    • Proven experience managing enterprise application portfolios in complex multi-system environments
    • Experience with software license management and vendor negotiations
    • Demonstrated success conducting application rationalization and portfolio optimization initiatives
    • Background in IT financial analysis including TCO modeling and business case development
    • Experience with or exposure to AI tools, platforms, or governance frameworks
  • Interpersonal Skills
    • Excellent communication skills with the ability to present complex technical concepts to executive audiences
    • Strategic thinker with the ability to balance long-term vision with pragmatic execution
    • Strong influencing and negotiation skills to drive architectural decisions across the organization
    • Able to work effectively with diverse stakeholders including business leaders, IT teams, and external partners
    • Collaborative leadership style with ability to build consensus across functional boundaries
  • Technical Skills
    • Expertise in application portfolio management methodologies and tools
    • Strong knowledge of software licensing models (perpetual, subscription, consumption-based, etc.)
    • Experience with portfolio management platforms (ServiceNow, LeanIX, Alfabet, Apptio, or similar)
    • Proficiency with financial analysis tools and TCO modeling
    • Understanding of enterprise application architectures and integration patterns
    • Familiarity with ERP platforms, CRM systems, and enterprise software suites
    • Knowledge of software compliance frameworks and audit processes
    • Experience with contract management and vendor relationship management
    • Strong data analysis skills for portfolio reporting
    • Ability to create executive-level dashboards and visualizations (PowerBI, Tableau)
    • Understanding of cloud economics, SaaS financial models, and FinOps practices
    • Familiarity with AI/ML tools, platforms, and AI licensing models (per-seat, consumption-based, API-based)
    • Understanding of COBIT and ITIL frameworks as applied to asset and portfolio governance

 

Preferred Qualifications:

  • ITIL Foundation or higher certification
  • COBIT Foundation or equivalent IT governance certification
  • Certified Software Asset Manager (CSAM) or equivalent certification
  • Familiarity with AI governance frameworks (NIST AI RMF, ISO/IEC 42001)
  • Experience with enterprise ERP platforms and related software ecosystems
  • Background in water utilities, industrial manufacturing, or similar industries
  • Experience supporting large-scale ERP implementations and application transformations
  • Familiarity with FinOps practices and cloud cost optimization
  • PMP or similar project management certification

Location: Tallassee, AL or Duluth, GA

#HP1

 

Equal Opportunity Employer EEO/AA M/F/Vet Disability