Head of Learning and Development (Academy)

Work Schedule: Hybrid work schedule (at least 2 days per week on-site)

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.

First, this role leads the design and delivery of high-impact learning experiences, oversees the operational systems that enable quality execution, and manages a team that supports program delivery and improvements. Success requires strong partnership across schools and units to ensure programs meet both university-wide and local needs.

The second is advancing staff AI fluency and practical application through building learning content, experiences, and support tools. 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.

Develop and maintain accessible learning materials such as participant guides, facilitator resources, toolkits, and quick-reference aids.

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.

Manage and improve our learning platforms, tools, and methods for engaging learners.

Q&A assistants, practice prompts, and job aids) that help staff apply learning on the job, with clear guardrails and appropriate governance.

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.

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