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Contract Model Risk Governance Jobs in Raleigh, NC

Vice President, Data Governance Officer

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish policies, procedures, and stewardship models aligned with HIPAA, CLIA, CAP, FDA, GxP, and ... Compliance & Risk: Ensures regulatory adherence while reducing security and compliance risks.

Vice President, Data Governance Officer

Durham, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish policies, procedures, and stewardship models aligned with HIPAA, CLIA, CAP, FDA, GxP, and ... Compliance & Risk: Ensures regulatory adherence while reducing security and compliance risks.

Contract Analyst (Hybrid)

Raleigh, NC · Hybrid

$67K - $81K/yr

Contract Management - Manages queue of contracts coming up for renewal/expiration. Reviews and ... Experience with Archer governance, risk, and compliance (GRC) platform Benefits are an integral ...

Contract Analyst (Hybrid)

Raleigh, NC · Hybrid

$67K - $81K/yr

Contract Management - Manages queue of contracts coming up for renewal/expiration. Reviews and ... Experience with Archer governance, risk, and compliance (GRC) platform Benefits are an integral ...

Contract Analyst (Hybrid)

Raleigh, NC · On-site

$67K - $81K/yr

This position analyzes contracts and recommends contract provisions and amendments that align with ... Experience with Archer governance, risk, and compliance (GRC) platform Benefits are an integral ...

Contract Analyst (Hybrid)

Raleigh, NC · On-site

$67K - $81K/yr

This position analyzes contracts and recommends contract provisions and amendments that align with ... Experience with Archer governance, risk, and compliance (GRC) platform Benefits are an integral ...

Senior Risk Solutions Sales Account Executive

Cary, NC · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our Risk solutions set include Integrated Balance Sheet Management, Credit Risk Management, Model ... Communicate with other departments to create and finalize contracts and set time schedules for ...

Technical Architect - Data, Analytics & AI

Durham, NC · Hybrid

$61.50 - $79.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Ensure responsible and compliant AI adoption, aligned with AI governance, model risk management, data privacy, and security controls . * Guide the integration of AI/ML capabilities into analytics ...

Showing results 21-40

Contract Model Risk Governance information

See Raleigh, NC salary details

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

As of Aug 18, 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 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 key skills and qualifications needed to thrive in contract model risk governance?

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 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 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 are popular job titles related to Contract Model Risk Governance jobs in Raleigh, NC?

For Contract Model Risk Governance jobs in Raleigh, NC, the most frequently searched job titles 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:

AI Platform Director- Data Engineering

First-Citizens Bank & Trust Company

Raleigh, NC • On-site

$245K/yr

Other

Re-posted yesterday


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview
We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle-from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.
As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders-ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.
Responsibilities
AWS AI/ML Platform Ownership
  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
  • Continuously enhance the platform's automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.

Machine Learning & GenAI Execution
  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.


Data & Engineering Collaboration
  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems


Model Governance & Risk Compliance
  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform's core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)


Team Building & Leadership
  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control

Qualifications
Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management. OR High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.
Qualifications
  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications
  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at
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