Instructional Design Program Manager

Program and Strategic Leadership 

• Own one or more instructional design programs or portfolios from intake through measurement and iteration, treating them as living systems rather than project deliverables. 

• Translate business priorities into outcome-based learning strategies with clear roadmaps and defined success metrics tied to adoption, efficiency, and customer impact. 

• Use AI-assisted data synthesis, learner signals, and performance analytics to make faster, better-informed trade-off recommendations across scope, timeline, and resources. 

• Identify and surface opportunities to expand program value through intelligent content reuse, automated personalization, and adaptive delivery. 

AI-Augmented Design and Systems Thinking 

• Build learning programs with generative AI as a core component, applying LLM-assisted content development, automated localization, intelligent content refresh, and AI-driven quality review as standard practice. 

• Design and implement agentic workflows that reduce manual effort in content creation, SME review cycles, translation, accessibility remediation, and learner support. 

• Build modular, prompt-driven content systems where generative AI can extend, update, and personalize assets at scale without proportional human effort. 

• Evaluate emerging AI tools, agents, and platforms and provide recommendations using a clear framework for responsible use, output quality, and bias mitigation. 

• Apply and uphold governance practices for AI-generated learning content, including review checkpoints, accuracy standards, and transparency with learners. 

Instructional Design Leadership 

• Advance modern instructional design practice, including AI-assisted authoring, dynamic content models, and agent-supported learner experiences such as on-demand coaching, simulated practice, and intelligent job aids. 

• Ensure all learning solutions are workflow-aligned, outcome-oriented, and designed for real customer contexts rather than generic skill coverage. 

• Apply and help evolve design standards that improve quality, efficiency, and reuse, and that are compatible with AI-assisted development pipelines. 

• Review and provide input on high-impact learning solutions to ensure they are scalable, effective, and responsibly built. 

• Mentor instructional designers on prompt engineering, AI tool selection, responsible generation practices, and the evolving boundaries of human vs. AI authorship. 

Execution and Delivery 

• Lead the shift from manual, course-based production to AI-assisted, modular, continuously evolving learning ecosystems within your program portfolio. 

• Use agentic tools to automate repeatable tasks: content audits, gap analysis, metadata tagging, assessment generation, and personalization logic. 

• Improve discoverability and learner experience through AI-powered content recommendations, adaptive learning paths, and conversational learning interfaces. 

• Partner with subject matter experts using AI-assisted interview and synthesis workflows to accelerate knowledge capture without sacrificing depth or accuracy. 

• Use learner behavior data, completion signals, and AI-generated insights to continuously refine programs. 

Stakeholder Partnership and Influence 

• Partner cross-functionally to align learning investment to business priorities, with a clear AI strategy narrative for senior audiences. 

• Provide well-reasoned recommendations on what gets built, how it is delivered, and where AI can close gaps faster than traditional development. 

• Serve as a trusted voice on the responsible use of generative AI in learning, including what it can and cannot do well, and how to communicate that to stakeholders and learners. 

• Represent the Customer Education function as a driver of adoption, efficiency, and growth. 

Qualifications and Experience 

• Deep expertise in instructional design, adult learning theory, and assessment, applied at a program or portfolio level. 

• Demonstrated hands-on experience using generative AI tools (such as Claude, ChatGPT, Gemini, or similar) in real instructional design workflows, not just experimentation. 

• Experience designing or implementing agentic workflows that automate meaningful parts of the content development or learner support lifecycle. 

• Strong ability to connect learning programs to business outcomes and evaluate ROI with rigor. 

• Track record of improving scalability, efficiency, or innovation in learning programs through systems thinking. 

• Excellent communication and stakeholder management skills, including the ability to present AI strategy and responsible use clearly to senior leaders. 

• Proven ability to mentor instructional designers on both craft and emerging technology. 

• Strong program management skills: prioritization, risk management, and delivery in fast-moving environments. 

• Proficiency with LMS platforms, modern authoring tools, and AI-powered content development platforms. 

• Comfort operating in ambiguity and evolving practice as the technology landscape shifts.