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Contract Model Risk Governance Jobs in Atlanta, GA

Learn Beyond Consulting LLC

AI Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Atlanta, GA 5 Month Contract Only W2 3 days hybrid onsite in Atlanta Top Skills'' Details Cloud ... model risk management controls, including auditability, explainability, and access governance.

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

... 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 ...

YouLend

Credit Risk Lead

Atlanta, GA · On-site

Governance, Compliance and Quality Assurance * Own and maintain the Risk Governance Framework ... Strong understanding of credit underwriting principles, data science model application, risk ...

Visa

Director, VCA NA Risk Practice

Atlanta, GA · On-site

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

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All JobsContract Model Risk Governance JobsContract Model Risk Governance Jobs in Atlanta, GA

Contract Model Risk Governance information

See Atlanta, GA salary details

$9

$43

$137

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

As of Aug 6, 2026, the average hourly pay for contract model risk governance in Atlanta, GA is $43.96, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $69.33 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?

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 popular job titles related to Contract Model Risk Governance jobs in Atlanta, GA? For Contract Model Risk Governance jobs in Atlanta, GA, the most frequently searched job titles are:
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Contract Model Risk Governance jobs near you

Principal Consultant, AI Strategy & Governance

Thought Logic Consulting

Atlanta, GA • On-site

$130 - $210/hr

Other

Re-posted 13 days ago

Job description

Principal Consultant, AI Strategy & Governance

Department: Data Analytics

Employment Type: Full Time

Location: Atlanta

Description

Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

The Role We are seeking an experienced and driven AI Strategy & Governance consultant with 5-10 years of experience to join our growing Data & AI practice in Atlanta, GA. As the lead strategist on client engagements, you will guide organizations in transforming AI from fragmented experimentation into scalable, enterprise capabilities that deliver measurable business value. You will design AI operating models, establish governance frameworks, and define decision rights, policy structures, and roadmaps that enable responsible and effective AI adoption. This is a high-visibility role requiring both deep subject matter expertise and strong client relationship skills.

  • Lead AI and data maturity assessments to identify gaps and define transformation priorities
  • Define target-state AI operating models, including roles, decision rights, and organizational structure
  • Develop AI use case roadmaps aligned to business value, feasibility, and strategic objectives
  • Advise executives on Generative and Agentic AI adoption strategies and scaling approaches
  • Design Center of Excellence (CoE) models to enable enterprise-wide AI adoption
  • Facilitate executive alignment across enterprise architecture, legal, privacy, information security, and business leadership
  • Serve as a strategic advisor to senior leaders, shaping long-term AI vision and investment priorities
  • Design governance frameworks including policies, standards, and control structures
  • Establish decision rights, escalation pathways, and governance forums
  • Develop policy suites covering responsible AI, tool usage, risk classification, and regulatory compliance
  • Build intake, prioritization, and risk classification workflows for AI and data initiatives
  • Define governance operating cadences, reporting structures, and accountability models
  • Partner with engineering teams to define continuous monitoring standards, model performance tracking, and model risk management approaches
  • Lead implementation of governance processes to transition from ad hoc to structured AI adoption
  • Drive knowledge transfer to embed governance capabilities within client organizations
  • Develop change management strategies to position governance as an enabler of innovation
  • Lead stakeholder engagement and communication to drive adoption across the enterprise
Who You'll Work With
  • C-suite executives, Chief Data Officers, and senior leaders across legal, risk, compliance, technology, HR, and business units
  • A team of collaborative, experienced consultants focused on solving complex business problems through data and AI strategy
  • Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are operationalizing AI at enterprise scale
  • Colleagues who prioritize intellectual rigor, curiosity, humility, and hands-on problem-solving
What You'll Bring
  • 5+ years of professional experience in management consulting, AI/data strategy, governance, or a related strategic advisory role
  • Demonstrated experience designing AI or data governance frameworks, operating models, and policy suites for enterprise organizations
  • Strong understanding of data and AI concepts including Generative AI, Agentic AI, machine learning, data governance, data quality, and responsible AI principles
  • Experience conducting organizational maturity assessments and translating findings into actionable roadmaps and prioritized initiatives
  • Proven ability to facilitate executive-level stakeholder workshops, build cross-functional alignment, and resolve competing priorities across complex organizations
  • Strong problem-solving skills with the ability to navigate ambiguity, synthesize complex information, and deliver structured, defensible recommendations
  • Excellent written and verbal communication skills, including the ability to develop polished executive-ready deliverables
  • Bachelor's degree in Business, Technology, Data Science, Engineering, or a related field
  • Currently reside in Atlanta, GA or willingness to relocate at your expense
  • Ability to legally work for any employer in the US without sponsorship

Bonus Points If You Have

  • Big 4 or top-tier management consulting experience
  • Experience standing up AI governance councils, review boards, or Centers of Excellence from the ground up
  • Hands-on familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry
  • Experience with AI risk classification frameworks, shadow AI discovery, or AI compliance programs
  • Prior work in regulated industries (financial services, energy, healthcare) where governance complexity is high
  • Relevant certifications in data governance, AI, change management, or project management
Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that’s scaling thoughtfully and intentionally, not just chasing growth for growth's sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space
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