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Director Machine Learning Jobs in Dallas, TX (NOW HIRING)

Vizient

AI & Decision Intelligence Director

Irving, TX · On-site

$135K - $236K/yr

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...

Smash CR

Director of AI/ML (P-161)

Flower Mound, TX · On-site

Drive implementation of machine learning, generative AI, and multi-agent orchestration solutions. * Oversee development and deployment of AI-powered automation initiatives using Microsoft Power ...

Smash CR

Director of AI/ML (P-161)

Flower Mound, TX · On-site

Drive implementation of machine learning, generative AI, and multi-agent orchestration solutions. * Oversee development and deployment of AI-powered automation initiatives using Microsoft Power ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Dallas, TX

Director Machine Learning information

See Dallas, TX salary details

$35.8K

$91.3K

$140.1K

How much do director machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for director machine learning in Dallas, TX is $91,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $105,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Dallas, TX?

The most popular types of Machine Learning jobs in Dallas, TX are:

What are popular job titles related to Director Machine Learning jobs in Dallas, TX?

For Director Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Director Machine Learning jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Director Machine Learning jobs?

Cities near Dallas, TX with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,330 per year, or $43.9 per hour.

AI & Decision Intelligence Director

Vizient

Irving, TX • On-site

$135K - $236K/yr

Full-time

Posted 10 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role identifies high-impact business opportunities, develops and deploys practical AI-driven solutions, and delivers capabilities that improve commercial decision-making, forecasting, customer intelligence, and organizational productivity.

Serving as the strategic leader and hands-on builder for AI and decision intelligence, this role translates business challenges into scalable solutions and partners with Marketing, Sales, Revenue Operations, Analytics, Technology, and other cross-functional teams to deliver measurable business value.

Responsibility:

Lead AI & Automation Innovation

  • Develop and execute the Revenue Intelligence AI, machine learning, and intelligent automation roadmap.
  • Identify, evaluate, and prioritize high-value AI and automation use cases across commercial functions.
  • Translate business challenges into scalable AI, machine learning, predictive analytics, and automation solutions.
  • Serve as a trusted advisor on emerging AI technologies and their practical business applications.

Build AI-Powered Intelligence Solutions

  • Design, develop, deploy, and monitor machine learning, predictive analytics, and AI-powered solutions in production environments.
  • Create forecasting, propensity, recommendation, customer intelligence, and decision-support models that improve commercial decision-making.
  • Build agentic AI and large language model (LLM)-powered applications and workflows that enhance productivity and insight generation.
  • Apply advanced analytics techniques to uncover opportunities and improve commercial outcomes.

Drive Intelligent Automation

  • Design and implement automation solutions that streamline insight generation, reporting, and decision-support processes.
  • Improve efficiency and productivity through scalable automation capabilities and repeatable delivery frameworks.

Deliver Business Impact

  • Establish AI, machine learning, and automation best practices and scalable delivery frameworks within Revenue Intelligence.
  • Partner cross-functionally to align solutions with strategic business priorities and measurable outcomes.
  • Measure adoption, performance, and value realization of AI and automation initiatives.
  • Manage external vendors and contractor resources supporting delivery efforts.

Qualifications

  • Relevant degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related field preferred.
  • 7 or more years of experience required.
  • Experience in AI, machine learning, data science, predictive analytics, or intelligent automation preferred.
  • Experience developing and deploying machine learning or AI solutions in production environments.
  • Experience building solutions using large language models (LLMs), agentic AI, and emerging AI technologies.
  • Experience with predictive modeling, forecasting, propensity modeling, recommendation models, customer intelligence, or decision-support capabilities.
  • Experience designing and implementing intelligent automation solutions that drive measurable business value.
  • Strong programming and analytical skills, including experience with Python, SQL, and modern analytics platforms.
  • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to business stakeholders and executive leaders.
  • Ability to influence and collaborate effectively across functions and manage external vendors or consulting partners.
  • Experience working within large B2B organizations.
  • Experience with Azure AI, Azure OpenAI, Databricks, and Power Platform.
  • Experience building customer intelligence, recommendation, or decision intelligence platforms.
  • Experience working with commercial analytics, revenue intelligence, or go-to-market organizations.

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Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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