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Learning Technology Manager Jobs in Nevada (NOW HIRING)

Pwc

CTIO - AI Engineer- Senior Manager

Las Vegas, NV

$91K - $321K/yr

... Technology Management, Risk Management/Insurance - Demonstrating advanced skills in data science algorithms and workflows - Utilizing machine learning and deep learning techniques effectively ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

Pwc

CTIO AI Engineering Manager

Las Vegas, NV

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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All JobsLearning Technology JobsLearning Technology Manager JobsLearning Technology Manager Jobs in Nevada

Learning Technology Manager information

See Nevada salary details

$31.6K

$78.8K

$132.4K

How much do learning technology manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for learning technology manager in Nevada is $78,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $89,100.00 per year, depending on experience, location, and employer.

What is a learning technology manager?

A Learning Technology Manager is responsible for overseeing the implementation and management of educational technologies within an organization. They evaluate, select, and support digital tools and platforms that enhance teaching, learning, and training experiences. Their role often includes collaborating with educators, IT staff, and administrators to ensure technology aligns with educational goals, as well as providing training and support for users. Learning Technology Managers also stay updated with the latest trends in educational technology to continuously improve learning outcomes.

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

To excel as a Learning Technology Manager, you need expertise in instructional design, learning management systems (LMS), and a background in education or information technology, often supported by a relevant degree. Familiarity with e-learning authoring tools, data analytics platforms, and certifications such as CompTIA or ATD can be highly advantageous. Strong project management, communication, and leadership skills help foster collaboration and drive technology adoption among educators and learners. These competencies are crucial for effectively implementing innovative learning solutions that enhance organizational training and development outcomes.

How does a learning technology manager collaborate with instructional designers and educators to implement new technologies?

A Learning Technology Manager works closely with instructional designers and educators to assess their needs, recommend appropriate digital tools, and facilitate the integration of technology into the curriculum. This collaboration often involves conducting training sessions, troubleshooting issues, and gathering feedback to refine technology solutions. Effective communication and project management are key, as the manager ensures that both pedagogical objectives and technical requirements are met. This role also frequently leads cross-functional meetings to align stakeholders and drive successful adoption of new learning platforms.

What is the difference between Learning Technology Manager vs Learning Systems Specialist?

AspectLearning Technology ManagerLearning Systems Specialist
CredentialsTypically requires a bachelor’s or master’s in education, instructional design, or related fields; certifications in LMS or e-learning tools are commonSimilar credentials, often with certifications in LMS platforms and instructional technology
Work EnvironmentOversees learning technology strategies, manages teams, and collaborates with stakeholdersFocuses on technical support, system configuration, and troubleshooting of learning platforms
Employer & Industry UsageUsed in educational institutions, corporate training, and e-learning companiesCommon in organizations with complex learning management systems and technical support needs

The Learning Technology Manager and Learning Systems Specialist roles share similar credentials and work environments, but the manager oversees strategy and team management, while the specialist handles technical system support. Both are vital in organizations leveraging learning technologies.

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

The most popular types of Learning Technology jobs in Nevada are:

What are popular job titles related to Learning Technology Manager jobs in Nevada?

For Learning Technology Manager jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Learning Technology Manager jobs in Nevada look for?

The top searched job categories for Learning Technology Manager jobs in Nevada are:

Learning Technology Manager jobs near you
Infographic showing various Learning Technology Manager job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $78,796 per year, or $37.9 per hour.

Vice President, Data Science

Las Vegas, NV • On-site

Aristocrat Technologies, Inc.
Amusement, Gambling, and Recreation • 11 - 50 employees
Learn more about Aristocrat Technologies, Inc.external

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.

  • Partner with senior business and technology leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities.

  • Lead, develop, and grow a high-performing Data Science organization through multiple levels of leadership.

Aristocrat Technologies rating

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

At Aristocrat, we are passionate about bringing happiness to life through the power of play. As a world leader in gaming content and technology, we strive to build outstanding experiences for our customers and players. The Vice President, Data Science defines and delivers Aristocrat's enterprise Data Science strategy and builds a Data Science organization that delivers business impact through machine learning, statistical modeling, advanced analytics, and AI. As a member of the Enterprise Data & Analytics leadership team, this role partners with senior business and technology leaders to shape strategy, accelerate innovation, and enable data-driven decision making across the enterprise.
What You'll Do
  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.
  • Serve as the executive advisor on Data Science strategy, investments, risks, and emerging opportunities.
  • Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities that solve business problems, improve decision making, and create measurable business value and competitive advantage.
  • Evaluate emerging Data Science, AI, and machine learning technologies, tools, and techniques, and establish a roadmap for adoption where they provide relevant business value.
  • Lead, develop and grow a high-performing organization through multiple levels of leadership, including Directors, Managers, Data Scientists, and Machine Learning Engineers.
  • Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI.
  • Define the enterprise strategy and architecture for model lifecycle management, including model development, deployment, monitoring, governance, and continuous improvement.
  • Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams to ensure scalable and balanced delivery of Data Science capabilities.
  • Drive enterprise adoption of advanced analytics and machine learning solutions that improve business outcomes and decision making.
  • Establish frameworks to measure adoption, business impact, and value realization of Data Science investments.
  • Shape an organization known for technical excellence, innovation, accountability, and continuous learning.

What We're Looking For
  • 15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines.
  • Deep familiarity with gaming, digital product, media, or entertainment businesses preferred.
  • Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders.
  • Proven success building and scaling Data Science capabilities that enable production machine learning, AI, and advanced analytics solutions.
  • Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices that support the scalable adoption of advanced analytics, machine learning, and AI.
  • Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities.
  • Outstanding executive communication, partner influence, and organizational leadership skills, able to build strong partnerships across business and technology functions.
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field preferred; equivalent experience will also be considered.
Compensation Philosophy
We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.
Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.
Specific details about compensation and benefits for this position will be discussed during the recruitment process.

What Aristocrat Technologies employees say

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