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Ai Risk Manager Jobs in Frisco, TX (NOW HIRING)

Capital One

Sr. Risk Manager, Controls

Plano, TX · On-site

Control Modernization & AI Integration: Contribute to forward-looking strategic initiatives aimed ... Risk Management Certification * 6+ years of experience with a Governance, Risk, or Control ...

Cetera

Senior Security Engineer

Dallas, TX · On-site

$113K - $155K/yr

We are seeking an AI Risk and Compliance Engineer to operationalize AI governance controls, manage AI-related third-party and vendor risk, and lead adversarial threat modeling for AI/ML systems using ...

Cetera

Senior Security Engineer

Dallas, TX

$113K - $155K/yr

We are seeking an AI Risk and Compliance Engineer to operationalize AI governance controls, manage AI-related third-party and vendor risk, and lead adversarial threat modeling for AI/ML systems using ...

Deloitte

Financial Risk Manager

Dallas, TX

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

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All JobsAi Risk JobsAi Risk Manager JobsAi Risk Manager Jobs in Frisco, TX

Ai Risk Manager information

See Frisco, TX salary details

$48.2K

$104.4K

$159.1K

How much do ai risk manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai risk manager in Frisco, TX is $104,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $120,700.00 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 Frisco, TX?

For Ai Risk Manager jobs in Frisco, TX, the most frequently searched job titles are:

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The top searched job categories for Ai Risk Manager jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Ai Risk Manager jobs?

Cities near Frisco, TX with the most Ai Risk Manager job openings:

Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Frisco, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $104,409 per year, or $50.2 per hour.

Director, Artificial Intelligence Policy and Risk Governance

Southlake, TX • On-site

Charles Schwab Inc.
See more jobs at Charles Schwab Inc.external

$150K - $200K/yr

Full-time

Posted 3 days ago

New

Job description

Your Opportunity
At Schwab, you're empowered to make an impact. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. Please note: This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.
The AI Risk Oversight team is part of the broader Model Risk Oversight (MRO) team under Corporate Risk Management. The team establishes and maintains Schwab's AI risk management program so the Company can safely and responsibly onboard, use, monitor, and govern agentic and generative artificial intelligence (AI) solutions while meeting internal policy requirements, regulatory expectations, and industry practices.
The team develops and maintains the AI risk program, including policy, standards, procedures, governance activities, committee structure, risk metrics and reporting, stakeholder engagement, training, communications, adherence monitoring, and evidence needed to support effective challenge from audit and regulators. This role provides an opportunity to drive the AI risk management program at Schwab by coordinating across AI owners, AI reviewers, Enterprise Risk Management, Technology, Cybersecurity, Compliance, Data, Operational Risk, and other stakeholders.
We are looking for someone with an intersection of risk program and policy experience coupled with a deep knowledge of artificial intelligence approaches, implementation, and governance. This role will report to the Director of AI Risk and be responsible for:
  • Driving the AI risk management program roadmap, workplans, stakeholder engagement, and execution discipline needed to maintain an effective enterprise program.
  • Maintaining and updating AI risk management policy, standards, procedures, guidance, program documentation, change management plans, and adherence expectations.
  • Coordinating across AI owners, AI reviewers, Enterprise Risk Management, Technology, Cybersecurity, Compliance, Data, Operational Risk, business risk partners, and other stakeholders to keep program requirements clear, current, and executable.
  • Assessing regulatory guidance, audit findings, industry practices, emerging AI risks, and internal risk framework requirements to identify needed program enhancements.
  • Preparing audit- and regulator-ready evidence, narratives, responses, and program documentation that demonstrate how Schwab governs AI risk.
  • Leading AI risk program self-assessments, gap analyses, issue identification, remediation planning, and enhancement tracking.
  • Designing and rolling out training, communications, stakeholder materials, and awareness campaigns that explain AI risk requirements and responsibilities.
  • Establishing and maintaining adherence monitoring routines for AI risk standards and procedures, including escalation of exceptions, violations, observations, issues, and remediation status.
  • Leading AI Risk Working Group, reporting to the Model Governance Subcommittee, and delivering senior management updates by developing clear agendas, decision materials, meeting outcomes, and follow-up actions.
  • Partnering with reporting, dashboard, metrics, inventory, and collective review leads to ensure program governance activities connect to operating data without directly owning those reporting or review execution functions.

What you have
Required Qualifications:
  • Bachelor's degree.
  • Knowledge of artificial intelligence techniques and approaches including development, implementation, monitoring, governance, and risk management of AI.
  • Experience managing risk, compliance, governance, audit, regulatory, or enterprise program management activities in a complex organization. Strong understanding of risk management frameworks, controls, policy governance, issue management, and program oversight practices.
  • Ability to translate regulatory guidance, audit feedback, industry practices, and internal risk requirements into practical standards, procedures, training, and monitoring activities.
  • Strong written communication skills, including the ability to create concise, defensible documentation for senior leaders, auditors, regulators, and cross-functional stakeholders.
  • Ability to influence and coordinate stakeholders across business, risk, technology, cybersecurity, compliance, data, and operations teams without direct authority.
  • High attention to detail, strong ownership, and ability to manage multiple priorities, deliverables, dependencies, and deadlines.
  • Experience leading cross-functional initiatives that require stakeholder alignment, issue resolution, clear communication, and disciplined follow-through.

Preferred Qualifications:
  • Master's degree, risk management certification, project/program management certification, audit certification, or related credentials.
  • Experience with practices tangential to AI risk, such as model risk management, technology risk, cybersecurity risk, data risk, operational risk, compliance, or enterprise risk management.
  • Familiarity with AI risk management guidance and frameworks such as NIST AI RMF, SR 11-7 and SR 26-2, FHFA Advisory Bulletin 2022-02, EU AI Act concepts, Financial Stability Board guidance, or other relevant regulatory and industry practices.
  • Experience preparing materials for regulators, internal audit, external audit, risk committees, governance forums, or senior leadership.
  • Experience developing policies, standards, procedures, controls, adherence monitoring plans, training materials, or change management plans.
  • Experience in financial services, banking, brokerage, or another highly regulated industry.

Apply