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Ai Risk Analyst Jobs in Oklahoma (NOW HIRING)

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

Your work will directly improve how these systems identify risk and interpret contract language to ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey. As a Finance Analytics & AI Manager on ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

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Ai Risk Analyst information

See Oklahoma salary details

$14

$37

$60

How much do ai risk analyst jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for ai risk analyst in Oklahoma is $37.38, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $45.48 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 are popular job titles related to Ai Risk Analyst jobs in Oklahoma? For Ai Risk Analyst jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Ai Risk Analyst jobs? Cities in Oklahoma with the most Ai Risk Analyst job openings:
Infographic showing various Ai Risk Analyst job openings in Oklahoma as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $77,754 per year, or $37.4 per hour.

AI Solution Analyst (US Citizenship Required)

Teledyne

Stillwater, OK • On-site

Full-time

Posted 23 days ago


Teledyne Technologies rating

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

41st of 156 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

** US Citizenship is required for this position. We are unable to hire Green Card Holders, individuals who need a work visa, are currently on a work visa, or individuals who will require work visa sponsorship in the future. **
The AI Solution Analyst plays a critical role in evaluating, testing, and validating AIrelated software tools, copilots, agents, and automation platforms for enterprise use across Teledyne. This position supports AI governance, risk assessment, technical feasibility analysis, and pilot execution to ensure AI solutions align with corporate security, compliance, and architectural standards.


As part of Teledyne's AI Transformation efforts, you will join a team of AI Adoption Leads, each specializing in a specific area of AI. Together, you will act as internal consultants, helping business units understand AI's potential and implement solutions that deliver real impact. This is a role for someone who combines deep technical knowledge with strong interpersonal and selling skills-you'll need to build trust, inspire change, and make AI happen in the business, not just track metrics.
Essential Duties & Responsibilities:

AI Tool Evaluation & Testing

  • Conduct handson technical evaluations of AI software tools, copilots, AI agents, RAG systems, and emerging AI platforms.

  • Assess capabilities, limitations, performance, model behavior, integration feasibility, and operational requirements.

  • Develop structured test plans, evaluation frameworks, and comparison matrices for consistent assessment.

  • Document findings, risks, limitations, and recommendations for technical and executive audiences.


Architecture & Integration Support

  • Analyze how candidate tools integrate with existing enterprise environments (Microsoft 365, Azure, SharePoint, onprem systems).

  • Review API functionality, identity and access requirements, logging, data flows, and security architecture.

  • Collaborate with enterprise architecture and infrastructure teams to determine technical feasibility.


Governance, Risk, and Compliance

  • Support AI governance processes, including privacy, datahandling assessments, and policy compliance.

  • Assist with documentation for compliance reviews, risk registers, and AI policy adherence.


Pilot Coordination & Vendor Interaction

  • Coordinate proofofconcept (POC) activities with vendors and internal stakeholders.

  • Create POC documentation including scope, success criteria, user testing results, and ROI analysis.

  • Provide ongoing updates to IT leadership, the AI Champions, and business units.


CrossFunctional Collaboration

  • Work with the AI Governance Committee, Cybersecurity, IT, and business units to gather requirements and evaluate use cases.

  • Serve as a technical resource during intake, review, and approval processes for AI tool requests.

  • Support training materials, knowledge sharing, and documentation to help scale internal AI adoption safely.


Qualifications & Experience:

Technical Experience

  • 3 years of experience in IT systems, software evaluation, enterprise applications, or technical analyst roles

  • Experience conducting technical evaluations of software tools or platforms

  • Solid understanding of enterprise technology fundamentals for example:

    • Microsoft 365 and Azure ecosystem

    • Microsoft Copilot, Copilot Studio, Azure AI/ML services, or similar platforms.

    • Identity & Access Management (Azure AD/Entra)

    • API integrations and data flows

    • Cloud/SaaS security concepts


AI & Data Literacy

  • Working understanding of large language models (LLMs), embeddings, RAG pipelines, and AI agent concepts (training not required, but literacy is expected)

  • Familiarity with key AI risk themes: hallucinations, bias, safety guardrails, data leakage, and model evaluation


Soft Skills

  • Strong analytical mindset and problemsolving capability

  • Excellent written documentation skills for both technical and executive audiences

  • Ability to manage multiple evaluations, pilots, and stakeholder groups simultaneously

  • Comfortable presenting findings and recommendations to leadership


Preferred Qualifications & Experience:

  • Experience with Python or PowerShell for limited proofofconcept test scripting

  • Background in regulated industries, security reviews, or governance frameworks

  • Project coordination or POC management experience

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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