Instructional Design Program Manager

Overview The Instructional Design Program Manager is a senior practitioner who designs, scales, and continuously improves learning programs that drive customer adoption, accelerate time-to-value, and deliver measurable business impact. This role applies generative AI and agentic workflows as practical tools in how learning gets built, personalized, and improved—not just experimentation. Job Description and Requirements 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. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between $92,000 and $138,000. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills Adult Learning Theory, Content Development, Curriculum Development, Instructional Design, Learning Management, Learning Management Systems (LMS), Learning Theory, Performance Improvements, Program Management, Training Delivery #J-18808-Ljbffr Relativity