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Director Model Risk Governance Jobs in Georgia (NOW HIRING)

Model Risk Consultant

Rex, GA · Hybrid

$105K - $140K/yr

Risk Job Id: 9009 Salary Range: $105,000 - $140,000 Job Posting End Date: May 18, 2026 We've Got ... governance * Recreates model outputs using challenger models, simplified calculations, or ...

... model risk governance and oversight for various model types. 7. Train/coach/mentor junior team ... and direct others independently without supervision, and strong project management skills. 6. ...

... model risk governance and oversight for various model types. 7. Train/coach/mentor junior team ... and direct others independently without supervision, and strong project management skills. 6. ...

Develop customer lifetime value (CLV) and portfolio economics models to inform acquisition ... Collaborate crossfunctionally with Product, Engineering, Risk Governance, Legal, Compliance, and ...

Awareness of financial-industry considerations: data privacy, model risk/governance, auditability, and secure development practices. * Excellent communication skills and the ability to influence and ...

Run the day-to-day AI governance operating model, embedding AI risk into existing Security, Privacy, Legal, and Third-Party Risk processes. * Coordinate AI intake and triage to ensure new AI tools ...

... risk and serve our customers. This team is central to our vision of the future and the core of our ... Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting ...

... risk posture, and compliance obligations * Establish and operate governance structures that support ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

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Director Model Risk Governance information

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

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 of 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 are Director Model Risk Governance roles?

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 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 Georgia? The most popular types of Model Risk Governance jobs in Georgia are:
What are popular job titles related to Director Model Risk Governance jobs in Georgia? For Director Model Risk Governance jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Georgia look for? The top searched job categories for Director Model Risk Governance jobs in Georgia are:
What cities in Georgia are hiring for Director Model Risk Governance jobs? Cities in Georgia with the most Director Model Risk Governance job openings:

Sr. Director, AI & Technology Risk Governance

The Mutual Group

Atlanta, GA • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Department:

Information Technology

Job Description:

Lead the enterprise AI Systems Governance Program, with core accountability for governing AI Systems across The Mutual Group and its member insurance carriers. This role operates under delegated authority from the CIO to execute the AIS Program and leads the AIS / Security Governance Team, which assumes responsibility for AI governance activities defined in the AIS Program, while the CIO retains final approval authority.

The role is responsible for ensuring that AI Systems used across multiple member organizations (insurance carriers) are governed consistently, responsibly, and in alignment with regulatory expectations. This includes working closely with member teams to assess, approve, monitor, and continuously improve AI usage in support of their business objectives.

In addition to AI Systems Governance, the role provides oversight across Cyber Security Governance, Data Privacy, and IT Controls to ensure a cohesive Technology Risk framework.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

AI Systems Governance Leadership (Primary Focus)

  • Own and operate the AI Systems Governance Program across the full lifecycle:

    • Intake, risk assessment, approval, monitoring, and retirement

  • Lead the AIS / Security Governance Team, responsible for executing AI governance activities defined in the AIS Program, including:

    • AI Risk Threshold Analysis

    • AI system review and risk classification

    • Governance recommendations for approval and escalation

  • Ensure governance is executed as a continuous control function, with ongoing validation, monitoring, and improvement

  • Partner with business and AI teams to ensure governance enables responsible AI adoption, not just compliance

Multi-Member Governance Model

  • Establish and operationalize a shared AI governance model across multiple member insurance carriers

  • Ensure consistent application of:

    • AI policies, standards, and controls

    • Risk classification and escalation frameworks

  • Partner with member organizations to:

    • Understand AI use cases and business objectives

    • Align governance with member-specific regulatory and risk requirements

    • Support adoption of best practices, playbooks, and controls across members

  • Drive consistency in AI inventory, reporting, and monitoring across all members

Risk Oversight & Decisioning

  • Provide executive oversight of AI risk assessments and governance decisions

  • Review and approve low-risk AI systems; escalate mid/high-risk systems to CLO and AIS Committee

  • Exercise judgment in risk classification ambiguity and escalation decisions

  • Ensure appropriate governance for:

    • Predictive models impacting underwriting, claims, and pricing

    • Customer-facing AI use cases

    • AI systems leveraging sensitive or regulated data

Monitoring, Controls & Assurance

  • Oversee ongoing monitoring and validation of AI Systems, including:

    • Model performance

    • Drift and bias detection

  • Ensure AI Systems continue to meet:

    • Regulatory expectations

    • Ethical and fairness standards

  • Oversee effectiveness of:

    • Cyber security controls (NIST CSF, NYDFS)

    • IT general controls and risk register

    • Data privacy safeguards (CCPA, IT lens)

  • Drive readiness for:

    • Internal audit and regulatory exams

    • External certifications (SOC 2)

Vendor & Third-Party AI Governance

  • Oversee vendor-wide AI governance across the enterprise and member organizations

  • Ensure execution of:

    • Vendor AI detection across the full vendor portfolio

    • FactSheet review, validation, and updates

  • Partner with Vendor Management and member teams to:

    • Ensure vendors meet contractual, regulatory, and AI governance requirements

    • Support member-specific vendor risk needs

Governance, Reporting & Incident Management

  • Lead AIS Committee engagement and Board-level reporting

  • Provide bi-annual updates on:

    • AI risk posture

    • Cyber and technology risk posture

  • Ensure consistent and transparent reporting across member organizations

  • Oversee governance of AI-related incidents and anomalies, including:

    • Cross-functional coordination

    • Escalation and remediation

Broader Technology Risk Governance

  • Establish unified governance across:

    • Cyber Security Governance

    • Data Privacy (IT lens)

    • IT General Controls and risk register

  • Ensure alignment between AI governance and broader Technology Risk frameworks

Cross-Functional Coordination

  • Collaborate closely with technology and business teams across the organization

  • Ensure effective coordination with the Architecture Review Board (ARB) where architectural alignment is required

Team Leadership

  • Build and lead a high-performing governance team

  • Set operating cadence, priorities, and performance expectations

  • Foster a service-oriented mindset focused on enabling member organizations

Qualifications:

  • 12+ years in technology risk, AI governance, cyber risk, or enterprise risk

  • Experience operating in regulated environments (insurance or financial services preferred)

  • Experience working in multi-entity / shared services / multi-carrier environments

  • Deep understanding of AI Systems governance and model risk

  • Strong familiarity with:

    • NAIC AI Model Bulletin

    • NYDFS Cybersecurity Regulation

    • CCPA

    • NIST CSF and NIST AI RMF

    • SOC 2

  • Experience with vendor risk management

  • Experience with GRC platforms (e.g., Archer, ServiceNow, OneTrust)

  • Strong executive communication, influencing, and leadership skills

Pay Range:

Anticipated Hiring Range:

  • $180,000 - $220,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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