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Director Learning Development Jobs in Annapolis, MD

Reggio s Treehouse LLC

CENTER DIRECTOR

Washington, DC · On-site

$60K - $75K/yr

Our Reggio Emilia philosophy fosters self-directed learning and critical thinking through play ... The Director will also manage staff, assist with curriculum development, and ensure a Reggio ...

Mathnasium

Learning Center Assistant Director

Dunkirk, MD · On-site

$16 - $20/hr

Support the Center Director in administering student assessments and developing student learning ... Mentor and support employee development by providing on-the-job training to instructional staff

STAGE FRONT

Director of Product Development

Columbia, MD · On-site

$150 - $160/hr

The Director of Product Development will oversee the product development lifecycle, establish ... Encourage continuous learning and process improvement. Product Operations * Define and manage KPIs ...

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Director Learning Development information

See Annapolis, MD salary details

$43.1K

$112.5K

$182.1K

How much do director learning development jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director learning development in Annapolis, MD is $112,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $131,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director of learning and development?

To thrive as a Director of Learning and Development, you need expertise in instructional design, organizational development, and adult learning theory, often supported by a degree in education, HR, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and certifications like CPLP or SHRM-CP is typically required. Strategic thinking, leadership, and strong communication skills help you drive change and foster a culture of continuous learning. These skills and qualities are crucial for aligning learning initiatives with business goals and ensuring workforce development.

What are the most common challenges faced by a director of learning and development when implementing new training programs across an organization?

One of the main challenges for Directors of Learning and Development is gaining buy-in from both leadership and employees for new training initiatives. Balancing diverse learning needs across different departments while ensuring consistency in delivery can also be complex. Additionally, measuring the effectiveness of programs and demonstrating their impact on business outcomes often requires careful planning and ongoing evaluation. Successful Directors typically overcome these challenges through strong communication, collaboration with stakeholders, and leveraging data-driven approaches to tailor and refine development strategies.

What is the difference between Director Learning Development vs Learning and Development Manager?

AspectDirector Learning DevelopmentLearning and Development Manager
CredentialsTypically requires a bachelor’s degree in education, HR, or related field; often prefers advanced certifications like CPLP or ATD certificationsSimilar educational background; certifications like CPLP or ATD are common but less frequently required
Work EnvironmentStrategic leadership role overseeing multiple teams or departments, involved in high-level planningOperational role focused on implementing training programs and managing teams
Employer & Industry UsageUsed in large organizations across various industries, especially where training is a strategic priorityCommon in organizations of all sizes, often as a mid-level position within HR or Learning departments

The main difference between a Director Learning Development and a Learning and Development Manager lies in scope and seniority. The Director typically leads strategic initiatives and manages multiple teams, while the Manager focuses on executing training programs and day-to-day operations. Both roles require similar credentials but differ in responsibilities and organizational level.

What does a director learning development do?

A director of learning development oversees the design, implementation, and evaluation of training programs to enhance employee skills and organizational performance. They often manage teams, collaborate with leadership, and utilize learning management systems to ensure effective training delivery and alignment with business goals.

What are popular job titles related to Director Learning Development jobs in Annapolis, MD?

For Director Learning Development jobs in Annapolis, MD, the most frequently searched job titles are:

What job categories do people searching Director Learning Development jobs in Annapolis, MD look for?

The top searched job categories for Director Learning Development jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Director Learning Development jobs?

Cities near Annapolis, MD with the most Director Learning Development job openings:

Director Learning Development jobs near you

Director of Machine Learning (Washington)

Virtualitics

Washington, DC • On-site

Full-time

Posted yesterday

New

Job description

Director of Machine Learning Engineering (Secret Cleared, DMV)About Virtualitics:

Virtualitics is a fast-growing, Caltech-born defense tech company (:120 people) dedicated to reversing the decline in military readiness. Virtualitics builds AI-native readiness intelligence for the US and allied nations’ defense sector. Virtualitics Iris transforms how defense organizations act on maintenance, logistics, personnel, and global force management data. Our team is actively refining agentic workflows, composable AI agents, and generative interfaces to replace static dashboards with dynamic, conversational intelligence.

What You Will Do:
  • Lead the Machine Learning Engineering team
  • Provide guidance on how to architect robust, scalable applications using sound engineering principles, managing the complete data lifecycle from acquisition to model inference and postprocessing
  • Tackle runtime performance and optimize data access patterns for highly responsive applications
  • Collaborate across the delivery team (e.g. Product, Customer Success, DevOps, and QA) to align engineering deliverables with strategic customer commitments
  • Tackle key issues across Delivery and Platform teams and flag pain points to help influence the roadmap
  • Set the technical hiring bar and mentor engineers, ensuring teams are well-staffed and capable
  • Clearly communicate technical progress, risks, and ROI, directly linking AI team output to revenue, mission impact both up and down as well as internally and externally
Core Requirements:
  • Clearance & Location: Must hold at least a U.S. Secret security clearance and be willing to upgrade to a TS/SCI if needed. Must be willing to travel to customer locations as needed
  • Engineering Fundamentals: A degree in Computer Science or related field and 8+ years of software engineering experience. We target candidates with a strong background in software engineering and production deployment, rather than strictly research-oriented backgrounds
  • AI & Systems: A proven track record of deploying software into production environments. Has shipped production-grade AI / agentic systems
  • GPU Fluency: Has experience with offloading compute for AI systems to GPUs and is comfortable with designing training and inference pipelines
  • Full Stack & DevSecOps: Understands full stack software development, DevSecOps, and AI systems holistically. Familiarity with Docker, Kubernetes, and Git
  • Data Ecosystem: Proficiency in Python with a solid understanding of the Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). Experience working with a wide variety of data (both structured and unstructured) from different sources
  • Culture & Values: Embody Virtualitics core values by bringing a positive attitude, fostering a highly collaborative environment, and always being ready to lean in to tackle complex challenges alongside the team
Preferred Qualifications (Pluses):
  • Has built and cultivated a high functioning Machine Learning Engineering team before
  • Has contributed to building engineering excellence and has top-tier engineering experience
  • Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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