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Director Model Risk Governance Jobs in Phoenix, AZ

Bounteous

AI Risk and Security Architect

Scottsdale, AZ · Hybrid

$65.50 - $84.75/hr

... model or agent lifecycle governance, privacy and regulatory analysis, and executive risk reporting. Required skills include NIST AI RMF, ISO/IEC 42001, model risk management, privacy analysis, and ...

USAA

Director, Risk Management - Life Risk

Phoenix, AZ · On-site +1

The Opportunity As a Director, Risk Management, you will lead a high-performing team responsible ... Directs staff and initiatives that support risk management programs, to include governance support ...

Trellance, Inc.

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

Lead AI risk assessments, model reviews, and governance committee discussions. Required Skills * Strong understanding of Generative AI, Large Language Models (LLMs), Workflow Agents, RAG ...

American Express

Director - Tech Risk & Control

Phoenix, AZ · On-site

$144K - $256K/yr

Establish governance expectations for responsible use of AI in risk assessments, control monitoring ... Flexible working model with hybrid, onsite or virtual arrangements depending on role and business ...

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All JobsModel Risk Governance JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Phoenix, AZ

Director Model Risk Governance information

See Phoenix, AZ salary details

$53.6K

$142.2K

$258.2K

How much do director model risk governance jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director model risk governance in Phoenix, AZ is $142,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $166,300.00 per year, depending on experience, location, and employer.

What is a director model risk governance?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are the key skills and qualifications needed to thrive as a director model risk governance?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are some common challenges faced by a director model risk governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.

What is the difference between Director Model Risk Governance vs Model Risk Analyst?

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the most commonly searched types of Model Risk Governance jobs in Phoenix, AZ?

The most popular types of Model Risk Governance jobs in Phoenix, AZ are:

What are popular job titles related to Director Model Risk Governance jobs in Phoenix, AZ?

For Director Model Risk Governance jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Director Model Risk Governance jobs in Phoenix, AZ look for?

The top searched job categories for Director Model Risk Governance jobs in Phoenix, AZ are:

Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Phoenix, AZ as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $142,169 per year, or $68.4 per hour.

AI Risk and Security Architect

Bounteous

Scottsdale, AZ • Hybrid

$65.50 - $84.75/hr

Full-time

Posted 5 days ago

Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Job Title: AI Risk and Security Architect

Location: Scottsdale, Arizona (Onsite - 5 Days/Week)
Job Type: Fulltime
Domain: Retail

 

About the Role:

Skills and Experience Expectations

Senior AI governance and risk management professional with 3-5 years of relevant hands-on experience in AI governance, risk management, responsible AI, policy execution, risk registers, control evidence, audit readiness, model or agent lifecycle governance, privacy and regulatory analysis, and executive risk reporting.

Required skills include NIST AI RMF, ISO/IEC 42001, model risk management, privacy analysis, and regulatory analysis.

Primary Responsibilities

Support AI risk intake, assessment, classification, mitigation tracking, approval evidence, policy alignment, AI inventory quality, governance reporting, escalation preparation, and coordination with security, privacy, legal, architecture, and business stakeholders.

Required Qualifications

Education:

  • Bachelor's degree in computer science, Information Systems, Engineering, or related discipline.
  • Equivalent work experience may be considered.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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