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Director Model Risk Governance Jobs in Arizona (NOW HIRING)

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

Program Manager - AI Engineering

Phoenix, AZ · On-site

$122K/yr

Understanding of model risk management, governance, and compliance within financial services ... Influencing without direct authority * Preparing executive-level presentations and communications

Program Manager - AI Engineering

Phoenix, AZ · On-site

$122K/yr

Understanding of model risk management, governance, and compliance within financial services ... Influencing without direct authority * Preparing executive-level presentations and communications

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

Program Manager - AI Engineering

Phoenix, AZ · On-site

$122K/yr

Understanding of model risk management, governance, and compliance within financial services ... Influencing without direct authority * Preparing executive-level presentations and communications

Showing results 41-60

Director Model Risk Governance information

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 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 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 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.
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Infographic showing various Director Model Risk Governance job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution.

Director, Data Governance & Data Quality

PLACEM!NT by TZ Consulting

Chandler, AZ

$180K - $200K/yr

Full-time

Posted 22 days ago


Job description

Director, Data Governance & Data Quality

Data & Analytics · Client Engagement

Location: On-site 4 days/week, Chandler, AZ

Compensation: $180,000 to $200,000 base plus 10% bonus

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.

What You'll Do

  • Build and run the Data Trust Council, the 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

What We Need

  • 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.



Benefits

Schedule & Comp

$180,000 to $200,000 base plus 10% bonus. Full time On-site 4 days/week, Chandler, AZ

Hiring Process

Apply → alignM!NT Review → Recruiter Interview → Client Interview(s) → Offer → placeM!NT

Equal Opportunity

We're recruiting on behalf of our client/employer partner, an Equal Opportunity Employer. Reasonable accommodations are available; request assistance by contacting us at recruiting@placemint.agency. We and/or the employer may use automated tools (including AI) to support parts of recruiting (e.g., organizing applications, identifying role-relevant qualifications, scheduling) with human oversight; these tools are not the sole basis for decisions; people make all hiring decisions, consistent with applicable laws (including Arizona requirements where applicable). placeM!NT is supporting our client with recruitment. All communication will come from a @placemint.agency email address.