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Learning Director Jobs in Texas (NOW HIRING)

David Weekley Homes

Director of Learning

Houston, TX · On-site

David Weekley Homes is looking for a businessminded Director of Learning who is energized by building, optimizing, and scaling highimpact learning programs. This is a role for someone who doesn't sit ...

David Weekley Homes

Director of Learning

Houston, TX · On-site

Company Description David Weekley Homes is looking for a business-minded Director of Learning who is energized by building, optimizing, and scaling high-impact learning programs. This is a role for ...

KIPP

Director of Professional Learning

Houston, TX · On-site

The Director of Professional Learning serves as a strategic leader responsible for championing a vision of excellence in educator development across KIPP Texas. By leading the high-quality design and ...

KIPP

Director of Professional Learning

Houston, TX · On-site

The Director of Professional Learning serves as a strategic leader responsible for championing a vision of excellence in educator development across KIPP Texas. By leading the high-quality design and ...

PDS Health

Dir, Learning and Development

Irving, TX · On-site

$153K/yr

The Dir, Learning and Development (L&D) is a strategic leader responsible for designing, developing, implementing, and evaluating comprehensive learning and development programs that support PDS ...

PDS Health

Dir, Learning and Development

Irving, TX · On-site

Overview The Dir, Learning and Development (L&D) is a strategic leader responsible for designing, developing, implementing, and evaluating comprehensive learning and development programs that support ...

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Learning Director information

See Texas salary details

$33.5K

$85.6K

$131.4K

How much do learning director jobs pay per year?

As of Sep 3, 2026, the average yearly pay for learning director in Texas is $85,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a learning director?

Learning Directors are professionals responsible for designing, implementing, and overseeing educational programs within organizations or institutions. They collaborate with stakeholders to identify learning needs, develop curriculum, and ensure instructional effectiveness. Learning Directors also assess program outcomes, manage budgets, and often supervise teams of educators or trainers. Their goal is to enhance employee skills, promote professional development, and align learning initiatives with organizational objectives.

What skills and qualifications are needed to thrive as a learning director?

To thrive as a Learning Director, you need expertise in instructional design, curriculum development, and adult learning principles, typically supported by an advanced degree in education or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are commonly required. Strong leadership, strategic thinking, and excellent communication skills help drive organizational learning initiatives and foster team collaboration. These competencies ensure effective development and delivery of learning programs that align with organizational goals and promote employee growth.

How does a learning director collaborate with other departments to align training initiatives with organizational goals?

A Learning Director often works closely with department heads, HR, and executive leadership to assess skill gaps and ensure training programs support broader business objectives. This collaboration involves regular meetings, needs assessments, and integrating feedback from various teams to tailor learning solutions. By fostering cross-departmental communication, the Learning Director helps ensure that educational initiatives are relevant, impactful, and drive measurable results for the organization.

What is the difference between Learning Director vs Learning Manager?

AspectLearning DirectorLearning Manager
CredentialsTypically requires a bachelor’s or master’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar educational background; often holds certifications like CPLP or ATD
Work EnvironmentStrategic leadership in organizations, overseeing multiple training programs and teamsOperational management of training programs, working directly with trainers and learners
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for high-level training strategyCommon in corporate and educational settings for day-to-day training operations

The main difference between a Learning Director and a Learning Manager lies in scope and strategic focus. Learning Directors typically oversee overall training strategies and manage teams at a higher level, while Learning Managers focus on executing training programs and managing daily operations. Both roles require relevant certifications and experience, but the Learning Director's role is more strategic and leadership-oriented.

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

The most popular types of Learning jobs in Texas are:

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

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

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

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

What cities in Texas are hiring for Learning Director jobs?

Cities in Texas with the most Learning Director job openings:

Learning Director jobs near you
Infographic showing various Learning Director job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $85,649 per year, or $41.2 per hour.

Executive Director - Applied Artificial Intelligence Machine Learning

JPMorgan Chase & Co.

Plano, TX • On-site

$250 - $360/hr

Other

Re-posted 25 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

As an Applied AI/ML Executive Director within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you.

Job responsibilities
  • Develop advanced agentic AI solutions involving structured and unstructed data, casual analytics, machine learning, deep learning, reinforcement learning, and optimization.
  • Design robust agent architectures combining LLM reasoning with tools, structured data, and APIs spanning state, memory, and context management, plus loop engineering (plan/act/observe, verification, termination, and fallback/escalation).
  • Engineer reliable agent-driven workflows emphasizing correctness, traceability, and control-aware behavior (guardrails, approvals, auditable decision paths).
  • Build knowledge-centric reasoning layers, including knowledge graphs and hybrid retrieval (RAG + graph + structured sources) to improve grounding and accuracy.
  • Drive specification-driven development: author specs and contracts (schemas, validators, tool/skill interfaces) and build evaluation/regression harnesses.
  • Advance agent quality via recursive self-improvement through automated evaluation and critique loops, red-team feedback, skill/prompt instruction optimization, and outcome-driven dataset curation (human-in-the-loop as needed).
  • Coach and mentor AI/ML team members, setting a high bar for engineering rigor and research depth.
Required qualifications, capabilities, and skills
  • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field.
  • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments

  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities , and skills:
  • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search/ranking, Reinforcement Learning or Meta Learning
  • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
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