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Contract Model Risk Governance Jobs in Raleigh, NC

Manager - AI Governance

Durham, NC · Hybrid

$78K - $85K/yr

This is a new role in a newly established AI & Data Governance function, bringing together data, AI, and risk governance into a single enterprise model. You Will: This is a hands-on data governance ...

Manager - AI Governance

Durham, NC · Hybrid

$78K - $85K/yr

This is a new role in a newly established AI & Data Governance function, bringing together data, AI, and risk governance into a single enterprise model. You Will: This is a hands-on data governance ...

... model risk governance and oversight for various model types. 7. Train/coach/mentor junior team members to enhance model audit work. Provide training on more complex and difficult areas.

Exposure to data and AI governance, model risk management frameworks, or emerging technology compliance EXPERIENCE * Knowledge of external audit workflows and the importance of audit quality ...

Own and support model risk management governance for AI products and internal AI tools, ensuring consistent oversight, documentation, and reporting. * Provide regular updates and insights to senior ...

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Contract Model Risk Governance information

See Raleigh, NC salary details

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$44

$138

How much do contract model risk governance jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for contract model risk governance in Raleigh, NC is $44.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $70.10 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Contract Model Risk Governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

What are the key skills and qualifications needed to thrive in Contract Model Risk Governance, and why are they important?

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What is Contract Model Risk Governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.
What are the most commonly searched types of Model Risk Governance jobs in Raleigh, NC? The most popular types of Model Risk Governance jobs in Raleigh, NC are:
What job categories do people searching Contract Model Risk Governance jobs in Raleigh, NC look for? The top searched job categories for Contract Model Risk Governance jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Contract Model Risk Governance jobs? Cities near Raleigh, NC with the most Contract Model Risk Governance job openings:

Sr. Director, AI & Technology Risk Governance

The Mutual Group

Raleigh, NC • 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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