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Contract Model Risk Governance Jobs in Texas (NOW HIRING)

East West Bank

Data Governance

Houston, TX · On-site

Strong understanding of AI risk, model risk, data privacy, explainability, human oversight, and responsible AI practices in regulated environments. * Ability to translate governance policies into ...

Wells Fargo

Principal AI Architect

Irving, TX · On-site

Lead architecture alignment for AI, GenAI, and Agentic AI solutions with Model Risk Management (MRM) and Artificial Intelligence Risk Review (AIRR) governance requirements, ensuring designs support ...

US Bank

Audit Project Manager - Model Risk

Irving, TX · On-site

$99K - $131K/yr

This individual will also perform testing in model governance audits and be involved in other ... Considerable experience taking a risk-based, solutions-oriented approach to audit execution and ...

Frost Bank

Model Validation Analyst I

San Antonio, TX · On-site

Assess Model Risk Management governance by reviewing policies, procedures, controls, risk assessments, documentation practices, and validation standards across the modeling lifecycle * Evaluate the ...

Analogdevices

AI Governance Analyst

Austin, TX

AI Governance Analyst About the Role An AI Governance Analyst helps an organization build, monitor ... Support model risk management processes, including documentation, validation, and lifecycle ...

Analog Devices

AI Governance Analyst

Austin, TX · On-site

AI Governance Analyst About the Role An AI Governance Analyst helps an organization build, monitor ... Support model risk management processes, including documentation, validation, and lifecycle ...

Frost Bank

Model Validation Analyst I

San Antonio, TX · On-site

Assess Model Risk Management governance by reviewing policies, procedures, controls, risk assessments, documentation practices, and validation standards across the modeling lifecycle * Evaluate the ...

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

The position also supports AI and model risk governance to ensure compliance with PayPal's enterprise risk framework and evolving regulatory standards. Essential Responsibilities: * Develop and ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards that are required to manage modeling processes ...

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All JobsContract Model Risk Governance JobsContract Model Risk Governance Jobs in Texas

Contract Model Risk Governance information

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 popular job titles related to Contract Model Risk Governance jobs in Texas? For Contract Model Risk Governance jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Contract Model Risk Governance jobs in Texas look for? The top searched job categories for Contract Model Risk Governance jobs in Texas are:
What cities in Texas are hiring for Contract Model Risk Governance jobs? Cities in Texas with the most Contract Model Risk Governance job openings:
Contract Model Risk Governance jobs near you
Infographic showing various Contract Model Risk Governance job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Governance

Data Governance

East West Bank

Houston, TX • On-site

Other

Posted 22 days ago

Job description

Data Governance

East West Bank is seeking an experienced Data Governance to help develop, operationalize, and mature the bank's enterprise data governance program. This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory compliance, and governance controls supporting enterprise reporting, risk management, analytics, and AI initiatives.

The position is part of the Enterprise AI Strategy & Transformation team, focused on scaling AI use cases, pilots, and proofs of concept into governed, measurable, and enterprise-ready capabilities. This role partners closely with business stakeholders, data owners, technology teams, analytics teams, and risk and compliance functions to implement governance processes, metadata management, data stewardship frameworks, and enterprise controls supporting the bank's broader data and AI strategy.

The ideal candidate is a hands-on governance practitioner with experience in highly regulated industries who can balance policy, process, and operational execution while driving enterprise-wide data maturity initiatives.

Responsibilities
  • Support the implementation and ongoing maturation of the enterprise data governance framework, including policies, standards, procedures, and operating models.
  • Partner with business and technology stakeholders to identify and document Critical Data Elements (CDEs), data ownership and stewardship assignments, business glossaries, data definitions, lineage, and data flows.
  • Facilitate governance working sessions with business and technology teams to align standards, remediation priorities, and governance objectives.
  • Develop and maintain enterprise data dictionary, data cataloging, and lineage documentation using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
  • Drive selection and adoption of modern data governance tools as needed
  • Assist with enterprise data quality management processes, including quality rules, controls, issue remediation, root-cause analysis, scorecards, and KPI reporting.
  • Collaborate with data engineering, analytics, and architecture teams to embed governance controls within enterprise data pipelines and analytical platforms.
  • Support governance activities related to data classification, sensitive data handling, access governance, retention, lifecycle management, and audit requirements.
  • Prepare governance reporting materials and metrics for governance councils, leadership reviews, and regulatory or audit activities.
  • Promote data literacy and governance best practices across the organization.
  • Support governance enablement within Azure-based environments including Azure Data Lake, Azure Databricks, Microsoft Fabric, and Power BI ecosystems.
  • Perform other duties as assigned.
Qualifications
  • Bachelor's degree in Information Systems, Data Management, Computer Science, Business Analytics, or a related discipline.
  • 8+ years of experience in data governance, AI governance, metadata management, data quality, data risk, or related enterprise data roles.
  • Strong understanding of data governance concepts including stewardship, metadata management, lineage, data quality, and business glossaries.
  • Experience supporting enterprise governance programs using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
  • Experience operating or orchestrating enterprise Data Governance Councils, Data Stewardship Committees, or equivalent governance forums
  • Familiarity with modern cloud-based data ecosystems, particularly Azure-centric environments.
  • Hands-on SQL skills to analyze data quality issues, metadata structures and governance controls implemented
  • Understanding of banking regulatory and compliance considerations related to data governance and risk management.
  • Strong analytical, organizational, communication, and stakeholder management skills.
  • Experience leading cross-functional governance initiatives with measurable outcomes and executive visibility.
  • Ability to translate complex AI and data risks into practical business and control decisions.

Required AI & Data Governance Experience

  • Hands-on experience applying governance controls to AI-enabled solutions, including data quality, lineage, ownership, access controls, retention, consent, and auditability.
  • Experience governing AI use cases from intake through production, including risk assessment, approval workflows, monitoring, and issue remediation.
  • Practical experience governing data used in LLM and RAG solutions, including source validation, sensitive data handling, ingestion controls, metadata management, and knowledge-base quality.
  • Strong understanding of AI risk, model risk, data privacy, explainability, human oversight, and responsible AI practices in regulated environments.
  • Ability to translate governance policies into repeatable operational procedures, controls, evidence requirements, metrics, and executive reporting.

AI Fluency & Hands-On LLM Experience

  • Practical experience with major LLM platforms including OpenAI, Anthropic Claude, Microsoft Copilot/Azure OpenAI, Google Gemini, AWS Bedrock, and open-source models such as Llama or Mistral.
  • Familiarity with prompt engineering, embeddings, vector search, RAG, agentic workflows, model evaluation, hallucination mitigation, and human-in-the-loop review.
  • Ability to assess AI solutions for privacy exposure, explainability, monitoring requirements, production readiness, and governance risks.
  • Experience partnering with technology, risk, compliance, legal, and business teams to govern AI responsibly while enabling innovation.

Required Technologies & Tooling

  • Data governance and catalog platforms such as Microsoft Purview, Collibra, Alation, or Informatica.Cloud data platforms and lakehouse architectures including Snowflake, Databricks, Azure, AWS, or GCP.
  • Data pipeline and orchestration tools such as dbt, Airflow, Azure Data Factory, AWS Glue, and Kafka.AI/ML lifecycle and monitoring tools including MLflow, model registries, evaluation frameworks, observability tools, and LLM monitoring platforms.
  • Security controls including IAM, encryption, DLP, tokenization/masking, secrets management, and audit logging.Familiar with Vector databases and AI infrastructure platforms such as Pinecone, Weaviate, FAISS, pgvector, and Azure AI Search.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $115,000.00/Yr. - USD $175,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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