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Ai Risk Manager Jobs in Gilbert, AZ (NOW HIRING)

AI Security Engineer Senior Manager

Tempe, AZ · On-site

$109K - $150K/yr

Lead AI Risk & Governance Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize ...

AI Security Engineer Senior Manager

Gilbert, AZ · On-site

$114K - $156K/yr

Lead AI Risk & Governance Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize ...

Risk & Compliance * Identity & Access Management * Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership Qualifications Required: * Bachelor's degree or ...

Risk & Compliance * Identity & Access Management * Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership Qualifications Required: * Bachelor's degree or ...

You show how you actually reason about application and AI risk and where you draw the line, instead ... The hiring manager reviews every completed submission, and the strongest candidates go straight to ...

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Showing results 1-20

Ai Risk Manager information

See Gilbert, AZ salary details

$51.3K

$111.2K

$169.5K

How much do ai risk manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for ai risk manager in Gilbert, AZ is $111,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $128,600.00 per year, depending on experience, location, and employer.

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Gilbert, AZ? For Ai Risk Manager jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Gilbert, AZ look for? The top searched job categories for Ai Risk Manager jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Ai Risk Manager jobs? Cities near Gilbert, AZ with the most Ai Risk Manager job openings:

Senior Manager-Enterprise Data & AI Risk & Controls

American Express

Phoenix, AZ

Full-time

Posted 5 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

Joining ETS Governance & Control means helping protect American Express customers and company through integrated, intelligence-driven technology risk and control management. Operating at the intersection of technology, governance, and risk, the team partners across the enterprise to modernize the foundation, advance risk intelligence, demonstrate trust at scale, and reduce material risk-enabling innovation with the right controls in place.
 

The Senior Manager, Enterprise Data & AI Risk & Controls serves as the first-line risk and controls lead for Enterprise Data & AI (EDAI) within Enterprise Technology Services (ETS). This role partners with business and technology leaders to embed effective risk management and controls into the delivery of enterprise data, AI, and technology capabilities.

The objective of this role is to identify, assess, manage, and report operational and technology risks across EDAI, ensuring compliance with regulatory requirements, American Express policies, and enterprise standards. By integrating risk management into technology delivery, the role strengthens EDAI's control environment, enables informed decision-making, and supports the secure, compliant, and resilient delivery of data and AI capabilities.

As a trusted risk and controls partner, you will collaborate with Enterprise Control Management, Technical Risk Management, Enterprise Data Risk Management, Operational Risk Management, and Business Unit Data Offices to shape data risk assessment methodologies, support business units in managing data risks, evaluate the effectiveness of controls for AI-enabled use cases, and embed consistent risk management practices across EDAI initiatives.

  • Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Risk Management, or a related field; or equivalent experience. 
  • Significant experience in Technology Risk, Technology Controls, Operational Risk, Information Security, Governance, Risk & Compliance (GRC), or a related discipline, with expertise in Data, AI or Model Risk. 
  • Deep knowledge of technology risk management, enterprise technology controls, operational risk frameworks, and applicable regulatory requirements. 
  • Strong understanding of AI governance, model risk management, data governance, and technology risk and control frameworks across the AI and technology lifecycle. 
  • Experience leading technology risk assessments, control evaluations, governance reviews, and remediation activities in complex technology environments. 
  • Experience partnering with technology, engineering, product, and business teams to embed controls into technology delivery and operational processes. 
  • Demonstrated ability to influence senior leaders and collaborate across Technology, Product, Risk, Compliance, Legal, and Audit organizations. 
  • Strong analytical, communication, and executive stakeholder management skills.

Preferred Qualifications

  • Advanced degree in Computer Science, Information Systems, Cybersecurity, Risk Management, or a related field. 
  • Experience developing governance frameworks or operating standards for enterprise data, AI, model, or technology risk management. 
  • Experience implementing or enhancing technology controls for cloud platforms, AI/GenAI, enterprise data platforms, automation, or modern software delivery practices. 
  • Experience applying AI or automation to improve risk assessments, control monitoring, testing, or compliance reporting. 
  • Professional certifications such as CISSP, CISM, CRISC, Security+, or equivalent.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

  • Lead the implementation of effective risk and control activities across EDAI, embedding risk management practices into business processes, technology delivery, enterprise data products, and AI capabilities.
  • Partner with business and technology leaders to identify, assess, manage, and monitor operational and technology risks across business processes, platforms, products, enterprise data, AI, and supporting technologies. 
  • Partner with Enterprise Control Management, Technical Risk Management, Enterprise Data Risk Management, Operational Risk Management, and Business Unit Data Offices to shape data risk assessment methodologies and enable consistent management of enterprise data risks. 
  • Integrate risk and control requirements into technology delivery, including cloud platforms, APIs, DevOps, MLOps, enterprise data platforms, AI solutions, and emerging technologies. 
  • Lead operational and technology risk assessments, control evaluations, and first-line quality reviews to assess control design and effectiveness and drive continuous improvement. 
  • Evaluate the design and effectiveness of controls supporting AI-enabled capabilities, including data governance, model governance, lifecycle controls, and regulatory compliance. 
  • Monitor operational and technology risk trends, key risk indicators, control performance, and emerging risks, providing actionable insights and executive reporting to support business decision-making. 
  • Partner with Product, Engineering, Compliance, Legal, Enterprise Control Management, Technical Risk Management, Enterprise Data Risk Management, Operational Risk Management, and Internal Audit to strengthen governance, regulatory readiness, and control effectiveness. 
  • Drive continuous improvement of EDAI's risk and control framework by identifying opportunities to simplify processes, automate controls, and enhance risk monitoring and reporting. 

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