Sr. Learning Experience Designer

Senior Learning Experience Designer – General Assembly

As a Senior Learning Experience Designer (LED), you will be responsible for designing, developing, and contextualizing high-quality GA learning programs for enterprise, technical, and professional audiences. This role requires strong learning experience design knowledge, excellent program development and project management skills, and hands-on fluency with AI tools and emerging workplace technologies.

You will create practical, outcome-driven learning experiences that help learners build relevant skills and apply them with confidence in real workplace contexts. Because AI is increasingly embedded across GA programs and client needs, you should understand how modern AI tools are actually used in the workplace and be able to translate that fluency into applied activities, labs, simulations, facilitator guides, assessments, and client-specific adaptations.

While this role will contribute significantly to GA’s AI-enabled and emerging technology portfolio, it is not a purely AI curriculum role. The core responsibility is to create scalable, high-quality GA programs that meet learner needs, client goals, market expectations, and GA’s instructional standards.

You will project manage and collaborate with subject matter experts, instructors, product managers, learning designers, assessment specialists, vendors, and client-facing teams to create learning experiences that reflect current market needs, emerging capabilities, and practical workplace application.

Reporting Relationships:

• Reports to Director, Learning Design, General Assembly

Direct Reports:

• N/a

Location:

• Dubai

Language:

• English

In this role you can expect to

Key Accountabilities

Program Ownership & Discovery

• Serve as the lead Learning Experience Designer for GA programs that may include AI, emerging technology, digital transformation, technical skills, leadership, role-based application, or workplace productivity components.
• Own the complete Client-facing Design Process; requirements gathering, learning outcomes, project timelines, scope, resourcing, development plans, and content quality from discovery through delivery.
• Partner with sales, product, client success, solutions, and delivery teams to identify client and learner needs and translate those needs into practical learning solutions.
• Support pre-sales and client conversations by helping define skill needs, learner personas, program objectives, audience readiness, and recommended learning pathways.
• Evaluate the tools, workflows, use cases, and workplace contexts most relevant to a client or learner audience, including AI tools where relevant, and determine how they should be represented in the learning experience.
• Define clear learning outcomes that move learners from awareness to practical application, workflow improvement, productivity gains, behavior change, and responsible technology use.

Applied Learning Design & AI-Enabled Development

• Design and develop practical, instructor-led learning experiences for learners at varying levels of expertise, including programs where AI tools, workflows, or emerging technologies are central to the learner outcome.
• Create instructor-led training materials, including slides, hands-on labs, case studies, simulations, assessments, facilitator guides, learner workbooks, and practical workplace exercises.
• Build learning experiences that help learners actively apply new skills in realistic workplace contexts, including the use of AI tools and platforms where relevant.
• Design hands-on activities using current workplace and AI tools, such as ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, Midjourney, NotebookLM, or other tools relevant to enterprise learning.
• Translate complex or technical concepts into structured, accessible, and engaging learning experiences in partnership with subject matter experts.
• Curate, contextualize, and update content to reflect emerging industry trends, new tool capabilities, evolving best practices, accessibility expectations, and responsible use considerations.
• Design structured learning pathways across levels of proficiency, including AI literacy, role-based application, technical skill development, workflow redesign, responsible technology use, and advanced concepts where appropriate.
• Develop practical, interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, use case development, ethical decision-making scenarios, productivity tasks, coding challenges, technical labs, or real-world business simulations.
• Ensure learning experiences are grounded in adult learning principles, lea