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Learning Technology Manager Jobs in Washington, DC

Learning Systems Architect

Mclean, VA · On-site

$55K - $126K/yr

Provide strategic and tactical advice and develop learning solutions on learning technology systems and cloud-based technologies, including learning management systems ( LMS ) to support evolving ...

Learning Systems Architect

Mclean, VA · On-site

$55K - $126K/yr

Provide strategic and tactical advice and develops learning solutions on learning technology systems and cloud-based technologies, including learning management systems (LMS) to support evolving ...

... learning management system. You will manage and optimize our customer-facing and internal LMS ... Partner with Gallup technology teams to maintain and improve integrations with Oracle and other ...

... learning management system. You will manage and optimize our customer-facing and internal LMS ... Partner with Gallup technology teams to maintain and improve integrations with Oracle and other ...

Showing results 41-60

Learning Technology Manager information

See Washington, DC salary details

$35.1K

$87.6K

$147.2K

How much do learning technology manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for learning technology manager in Washington, DC is $87,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $99,100.00 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 Washington, DC?

The most popular types of Learning Technology jobs in Washington, DC are:

What are popular job titles related to Learning Technology Manager jobs in Washington, DC?

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

$120 - $180/hr

Other

Re-posted 19 days ago


Job description

Solutions Technology Inc. (STI) is seeking a talented and driven AI/ML Engineer to join our team in Arlington, VA. In this role, you will play a vital part in designing, developing, and deploying machine learning models that support our critical customer mission. You will work closely with a multidisciplinary team to build scalable AI/ML solutions, streamline data pipelines, and drive forward data-driven innovations in a fast-paced, agile environment.

The ideal candidate will have a broad technical background, a solid understanding of applicable analytics, and a natural curiosity for producing effective solutions. This person is patient, has excellent time-management skills, and practices effective communication style.

The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities
  • Develop automated data pipelines for machine learning technology integration initiatives
  • Create automation workflows for malware sample collection, detonation, and taxonomy
  • Implement AI/LLM integrations with Databricks and other cloud services
  • Implement data integration automation between pilot and production systems
  • Support Automated Malware Analysis (AMA) platform development and enhancement
  • Develop scripts and tools to automate repetitive technical tasks
  • Create data transformation and normalization automation
  • Support AI/ML data preparation and feature engineering automation
  • Develop monitoring and alerting automation for integrated systems
  • Implement API integrations for data sharing and workflow automation
  • Document automation solutions and maintain code repositories
  • Support scaling automation from pilot to production environments
  • Optimize automation performance and efficiency
  • Collaborate with analysts to identify automation opportunities
  • Ensure automation solutions maintain data quality and integrity
  • Support continuous improvement of automated capabilities
Required Skills
  • U.S. Citizenship
  • Active Secret clearance; TS/SCI preferred
  • Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
  • 5+ years of experience in automation engineering, data engineering, or software development
  • Experience with data ingestion pipeline design on AWS
  • Experience with AI/LLM configuration, tuning, and integration
  • Experience with Machine Learning (ML) pipelines
  • Strong programming skills in Python, with experience in data manipulation libraries
  • Experience Amazon Bedrock (model access, endpoints, API Integration)
  • Knowledge of automation frameworks and orchestration tools
  • Experience with APIs and integration technologies
  • Understanding of database systems and data modeling
  • Familiarity with version control (Git) and CI/CD practices
  • Strong problem-solving and analytical skills
  • Ability to translate business requirements into automated solutions
  • Strong analytical and problem-solving skills
  • Excellent documentation and communication abilities
Desired Skills
  • Experience with malware analysis automation or cybersecurity tools
  • Knowledge of AI/ML pipelines and data preparation
  • Experience with Databricks and Databricks AI
  • Experience with workflow orchestration tools (Airflow, Prefect)
  • Background in cybersecurity or threat intelligence automation
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Knowledge of streaming data platforms (Kafka, Kinesis)
  • Familiarity with big data technologies (Spark, Hadoop)
  • Experience supporting federal cybersecurity programs
Required Education

BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience.

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