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Ai Risk Analyst Jobs in Turlock, CA (NOW HIRING)

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Ai Risk Analyst information

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$16

$42

$69

How much do ai risk analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai risk analyst in Turlock, CA is $42.57, according to ZipRecruiter salary data. Most workers in this role earn between $31.35 and $51.83 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 near Turlock, CA are hiring for Ai Risk Analyst jobs?

Cities near Turlock, CA with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you

VP of IT & Business Transformation

MOCSE FEDERAL CREDIT UNION

Modesto, CA • On-site

$172K - $216K/yr

Full-time

Re-posted 14 days ago

Job description

POSITION PURPOSE

The VP, IT & Business Transformation is a visionary leader dedicated to driving technological advancements at Mocse Credit Union. This role spearheads major transformation initiatives and formulates technology strategies to foster innovation, enhance member experience, and improve operational efficiency. It demands strong technical expertise and leadership in managing complex changes. The role harmonizes enterprise IT operations, cyber resilience, data management, and change leadership to enable growth and operational excellence. Ensures the effective, efficient, and secure operation of all data processing systems.

ESSENTIAL FUNCTIONS AND BASIC DUTIES

Strategic Technology Leadership & Vision

    1. Own and execute the enterprise technology vision and roadmap, ensuring alignment with Mocse Credit Union's business strategy, member experience goals, regulatory obligations, and long-term growth objectives.
    2. Provide strategic oversight of enterprise architecture, platforms, and technology standards, continuously evaluating emerging technologies and guiding investment decisions to ensure scalability, resilience, and business value.
    3. Own enterprise cybersecurity, technology risk management, and operational resilience, including security architecture, regulatory alignment, incident preparedness, Disaster Recovery, and Business Continuity planning. Establish and test resilience controls (e.g., tabletop exercises, RTO/RPO targets), and ensure the organization's ability to prevent, withstand, and recover from technology-related disruptions.
    4. Support the enterprise data, analytics, and artificial intelligence ecosystem, including data governance standards (quality, lineage, access, retention), data platforms, analytics capabilities, and responsible AI adoption. Ensure data and Artificial Intelligence (AI) solutions are secure, compliant, ethical, and aligned to business outcomes, enabling insight, automation, and informed decision-making across the organization.
    5. Acquire and apply expert knowledge of technologies and practices critical to ensuring effective and competitive business services. Lead the identification, assessment, and adoption of emerging technologies such as Artificial Intelligence (AI) and blockchain to drive competitive advantage and increase member value.
    6. Prioritize transformation initiatives with member experience and business-value lens; set outcome metrics.
    7. Participate actively in the Executive Team, contributing constructively, embracing new perspectives, and collaborating effectively across functions. Take initiative to propose and implement ideas that support the credit union's sustained growth.
    8. Collaborate with business units and IT teams to identify opportunities for innovation and process optimization, assembling cross-functional teams to address key challenges.
    9. Initiate and cultivate strategic partnerships with technology vendors, fintech firms, and industry partners to explore new opportunities and accelerate technological advancements.

Technical Acumen & Innovation

  1. Direct technology resource use and execution across infrastructure, applications, development, and vendor solutions to maintain service levels and support growth.
  2. Lead the credit union's cloud strategy, including planning, migration, optimization, and governance across all cloud environments (AWS, Azure, Google Cloud, etc.).
  3. Develop and manage robust API and MCP strategies for seamless integration with partners, promoting open banking.
  4. Build relationships and negotiate with vendors and industry contacts as needed.
  5. Guide technical teams in addressing complex challenges and encourage experimentation and rapid iteration.

Leadership & People Management

  1. Evaluate the existing organizational structure and assess team capabilities to align with projected objectives. Lead efforts to recruit, mentor, and retain a high-caliber technology team, cultivating a culture of collaboration, psychological safety, continuous learning, and exceptional performance.
  2. Lead enterprise-wide technology and business transformation, driving adoption of new platforms, processes, and ways of working through disciplined change management, executive alignment, and clear accountability. Build organizational readiness for change while ensuring transformation initiatives deliver measurable business and member outcomes.
  3. Participate actively in various internal and external credit union committees and assignments related to risk management, policy and procedure development, and other operational matters impacting the organization.
  4. Collaborate effectively with executive leadership and departmental heads to ensure seamless integration of technology initiatives with overarching business strategies and operational requirements.
  5. Establish key performance indicators (KPIs) for service reliability, delivery velocity, security posture, and adoption; review monthly and coursecorrect timely as needed.
  6. Hold teams accountable to SLAs and regulatory/compliance requirements; drive continuous improvement via retrospectives.
  7. Implement a coaching and mentoring cadence (1:1 coaching, skill plans) to build a high-trust, learning culture aligned to organizational values.
  8. Exhibit comprehensive knowledge of organizational dynamics.
  9. Display advanced leadership abilities, facilitating influence across all organizational levels.
  10. Bring expertise in strategic planning and a verified track record of successful execution.
  11. Communicate complex concepts with clarity, build consensus among diverse stakeholders through exceptional communication skills.
  12. Excel in collaborative settings and provide effective leadership to cross-functional teams.
  13. Stay abreast of evolving technologies and industry trends, particularly regarding innovative solutions addressing organizational challenges.

QUALIFICATIONS

Education/Certification: Bachelor's degree in computer science, Information Technology, Engineering, or a related field; Master's degree highly preferred. An equivalent combination of education and experience may be considered.

Required Knowledge: Deep expertise in cloud computing platforms (AWS, Azure, or Google Cloud), includingarchitecture, migration strategies, cost optimization, and security best practices.

Strong background in modern software engineering principles and practices, including agile methodologies, DevOps, microservices architecture, and API design.

Strong understanding of cybersecurity principles and frameworks (e.g., NIST, ISO 27001), with experience applying best practices to design, implement, and maintain secure, compliant technology environments within a regulated industry.

Knowledge of innovative tools such as AI, API's, and data repositories.

Proficiency in data science, machine learning, and artificial intelligence concepts, with practical experience in leveraging data for business insights and automation.

Comprehensive understanding of enterprise systems architecture, including network, storage, virtualization, and cybersecurity.

Experience with various programming languages and frameworks (e.g., Python, Java, .NET, Node.js, Go).

Knowledge of IT governance and regulatory guidelines

EXPERIENCE REQUIRED: Candidates should have 7-10 years of overall experience, with 3-5 years in a senior IT leadership role; financial services or highly regulated industry preferred.

Bachelor's degree in management information systems, computer science or a related field.

Skills/Abilities:Experience designing and implementing innovative business solutions.

Familiarity with industry-specific regulations related to data management and security.

Familiarity with a range of vendor technology packages and solutions, able to select and integrate the most appropriate technologies to support the business.

Extensive IT experience, including software delivery and program management.

Excellent verbal and written communication skills with the ability to effectively communicate with technical and non-technical users.

Engaging and open, capable of working hard under significant pressure while also being seen as additive to the leadership team.

Results-oriented with the ability to effectively resolve and manage problems and competing priorities.

Ability to build trust with others through commitment to the highest ethical and professional standards.

Confident leadership, sound judgment, creativity, and commitment to achieving excellence.

A self-starter: self-motivated, self-disciplined, self-assured, and performance-driven.

Excellent analytical and strategic skills.

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