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Stanford University is seeking a Manager, Learning & Organization Development to lead a team delivering learning programs and AI-enabled initiatives. You will design, implement, and measure impact across multiple audiences, partnering with HR, UIT, LMS teams, and program owners.
The role focuses on AI fluency, staff capability, and continuous improvement in learning environments. The position requires a Bachelor’s degree with five years of relevant experience and offers a hybrid schedule with
Work Schedule: Hybrid work schedule (at least 2 days per week on-site)Budgeted salary range for this position is $125,924-$149,000 per annum
Stanford is at a pivotal moment in how learning and development is evolving, driven by advances in artificial intelligence and changing expectations of how work is performed. In this context, the Manager, Learning & Organization Development sets the standards and operating processes for a comprehensive portfolio of talent and learning programs that balance world-class organizational development with practical AI capability building.
Manage and develop a team supporting learning delivery, learning operations, and continuous improvement. Lead the testing and experimentation with new tools and approaches, including AI-enabled workflow improvements. Research emerging trends, establish clear guardrails, run small pilots, document learnings, and scale what works.
Build and maintain effective partnerships with key stakeholders (e.g., local HR, UIT, LMS/platform teams, and program owners) to understand learning needs, and support program design and delivery. Lead end-to-end program design for multiple audiences (e.g., new managers, experienced managers, leaders, and staff), including needs assessment, learning outcomes, curriculum design, facilitation plans, and evaluation. Develop and maintain accessible learning materials such as participant guides, facilitator resources, toolkits, and quick-reference aids.
Develop and continuously refine a practical AI learning strategy for staff that aligns with Stanford’s standards and responsible-use principles. Translate emerging AI tools into accessible learning experiences that build confidence and adoption--covering effective prompting, workflow redesign, quality checks and human review, limitations, and risk mitigation. Advise stakeholders on how AI adoption enhances work, where human judgment is essential, and how to support teams through the transition.
Manage and improve our learning platforms, tools, and methods for engaging learners. Explore and test AI-enabled learning tools (e.g., Q&A assistants, practice prompts, and job aids) that help staff apply learning on the job, with clear guardrails and appropriate governance.
Define a small set of meaningful success measures for programs and initiatives (e.g., reach, learner confidence, on-the-job application, manager outcomes, and operational KPIs) aligned to clear decisions and actions. Synthesize qualitative and quantitative input (MSF feedback, program outcomes, operational data) into insights and recommendations, collecting data to drive program content and delivery improvements.
Bachelor’s degree and five years of relevant experience, or a combination of education and relevant experience.