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Director Model Validation Jobs in Texas (NOW HIRING)

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Establish and lead model validation, performance monitoring, and governance frameworks to ensure ... Direct experience with model governance frameworks. * Ability to clearly communicate quantitative ...

Kyndryl

Director, AI Governance

Dallas, TX · On-site

The Role Join Kyndryl as a Director of AI Governance you will unlock the power of data to drive ... model validation rates-to demonstrate accountability and progress. Your Future at Kyndryl Every ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

... Sr. Director of AI & Digital Innovation, the Principal Data Scientist provides critical technical input to the AI governance process, including risk assessments, model validation, efficacy ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

... Sr. Director of AI & Digital Innovation, the Principal Data Scientist provides critical technical input to the AI governance process, including risk assessments, model validation, efficacy ...

CommUnityCare

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

... Sr. Director of AI & Digital Innovation, the Principal Data Scientist provides critical technical input to the AI governance process, including risk assessments, model validation, efficacy ...

Central Health

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

... Sr. Director of AI & Digital Innovation, the Principal Data Scientist provides critical technical input to the AI governance process, including risk assessments, model validation, efficacy ...

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Showing results 21-40

All JobsModel Validation JobsDirector Model Validation JobsDirector Model Validation Jobs in Texas

Director Model Validation information

See Texas salary details

$6

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$31

How much do director model validation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for director model validation in Texas is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.40 per hour, depending on experience, location, and employer.

What is the difference between Director Model Validation vs Model Validation Analyst?

AspectDirector Model ValidationModel Validation Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., CFA, FRM)Bachelor’s or Master’s degree, relevant certifications often preferred
Work EnvironmentLeadership roles overseeing teams, strategic planning, cross-department collaborationHands-on analysis, testing models, preparing reports
Industry UsageSenior-level positions in banking, finance, risk managementEntry to mid-level roles supporting validation processes

The main difference is that the Director Model Validation leads and manages validation teams, focusing on strategy and oversight, while the Model Validation Analyst performs detailed testing and analysis under supervision. The director role requires more experience, leadership skills, and higher credentials, whereas the analyst role is more technical and execution-focused.

What are the most commonly searched types of Model Validation jobs in Texas?

The most popular types of Model Validation jobs in Texas are:

What are popular job titles related to Director Model Validation jobs in Texas?

For Director Model Validation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Director Model Validation jobs in Texas look for?

The top searched job categories for Director Model Validation jobs in Texas are:

What cities in Texas are hiring for Director Model Validation jobs?

Cities in Texas with the most Director Model Validation job openings:

Director Model Validation jobs near you

Director of Data Science

TBK Bank, SSB

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Join Triumph!
At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.
Director of Data Science
Position Summary
We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models that translate largescale transportation data into trusted insights for carriers, brokers, and shippers. In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings strong statistical rigor, experience working with real-world operational data, and a product-oriented mindset for deploying models that influence commercial and operational decisions across transportation networks.
Key Responsibilities
  • Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
  • Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
  • Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade-offs.
  • Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
  • Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
  • Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
  • Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
  • Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.

Required Qualifications
  • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
  • 5-7 years of professional experience in data science, applied statistics, or quantitative analytics.
  • Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
  • Demonstrated ability to build models that support decision making, optimization, or market intelligence.
  • Strong Python and SQL skills and experience working with large, complex datasets.
  • Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
  • Ability to clearly communicate quantitative insights to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience working with transportation, logistics, supply chain, or network-based data.
  • Strong expertise in
    • Regression & tree-based models (e.g., XGBoost, Random Forest)
    • Time series forecasting (e.g., SARIMAX, Prophet, TFT)
    • Statistical modeling of skewed distributions (e.g., log-normal, gamma)
  • 2 years in a leadership or people-management capacity
  • Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
  • Familiarity with time-series modeling, signal processing, or index construction.
  • Experience supporting intelligence, analytics, or data products used by external customers.
  • Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!

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