1

Director Model Risk Governance Jobs in Phoenix, AZ

Summary The Director, Engineering is responsible for leading the design, development, delivery ... Ensure compliance with firm security, risk, governance, privacy, and data protection standards ...

... teams to ensure risk management priorities are reflected in annual plans and initiatives • ... governance, including establishment of training curriculum, assignment, records management, and ...

This leader will manage a team of three direct reports and work across Business, Technology ... Familiarity with AI governance, model risk management, cybersecurity, privacy, data governance, and ...

Showing results 41-60

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 6, 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:

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.

Director, Data Governance & Data Quality

TZ Consulting

Chandler, AZ • On-site

$180 - $200/hr

Other

Re-posted 2 days ago


Job description

Director, Data Governance & Data Quality

Chandler, United States • Posted on 07/14/2026

  • Salary $180,000 to $200,000 base plus 10% bonus
  • City Chandler
  • State/Province Arizona
  • Country United States
Job Description

The Opportunity: You'll build the client's data governance operating model from the ground up, with direct authority over certification standards, executive escalation paths, and how data trust actually gets enforced across a complex, multi-system environment. This is a builder’s mandate, not a maintenance seat.

Responsibilities:

  • Build and run the Data Trust Council, an executive cadence with real decision rights for critical data domains.
  • Own the critical metric registry and certification framework end to end, so certified data has a clear owner, lineage, and change history.
  • Design the data quality incident process, including root‑cause classification and remediation routing.
  • Create and enforce Data Impact Reviews that govern how source‑system and workflow changes touch certified data and downstream reporting.
Requirements
  • 7+ years in data governance, data quality, or data strategy leadership, with a proven track record building business‑owned governance in a messy, multi-system environment where sources, definitions, and dashboards didn't initially agree.
  • Strong technical fluency with Snowflake, dbt, and modern BI tools (Tableau or comparable).
  • Demonstrated experience designing certification standards, owner/steward models, and source‑change control that changed actual operating behavior, not just documentation.
  • Strong advantage: executive‑level diplomacy translating technical lineage and data‑quality constraints into plain‑language business implications for non‑technical leaders.

Compensation: $180,000 to $200,000 base plus 10% bonus. Full time onsite 4 days/week, Chandler, AZ.

Equal Opportunity Employer. Reasonable accommodations are available.

#J-18808-Ljbffr