Senior Manager, AI Training & Enablement

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

Wiley Research is executing a three-year transformation, from a strong publishing foundation, through a connected intelligence layer, to an essential research infrastructure. AI runs through every stage. The value comes when more than 1,500 Research colleagues use it well in their daily work, and when teams are ready to adopt the agents and workflows Wiley builds.

The Senior Manager, AI Training & Enablement leads AI adoption across Research. The role has two focus areas: (1) moving colleagues toward everyday use of Copilot and Claude, and (2) deepening adoption of agents and AI-enabled workflows in the teams ready for them. With a population this size, focus is central to the job. The role chooses where to invest, builds simple and repeatable plans, and extends its reach through managers and peer champions.

The role works closely with the AI Center of Excellence, which owns governance, controls, and the building of agents, and with the BM&SP crew team, which experiments with operational solutions enabled by AI. It does not set AI policy, approve tools, or build agents. It makes sure colleagues know what is available and permitted, how to use it in their own work, and what is changing in how their team operates.

The role is hands-on: it designs and produces the learning materials and leads live sessions directly, concentrating that effort on priority segments. Materials are deliberately light: one-page role-based starter guides, short live and recorded sessions, example prompts and workflows, and manager talking points. Full curricula are not expected.

This role will evolve as Research evolves. Wiley is in the middle of a transformation, so the scope and priorities described here will be further defined with the VP once the person starts, and will keep changing as the organization does. The right person is flexible and comfortable adjusting course.

Key Responsibilities

The responsibilities below describe what this role may take on. They are possibilities rather than a fixed list. We will confirm scope and sequencing with the person in the role, and refine them as we go, as the organization and the transformation evolve.

1. Adoption Strategy & Prioritization

• Build and maintain a Research adoption plan: role-family segments, target use cases, sequencing of waves, and success measures. Review it with the VP each quarter.
• Apply clear prioritization criteria, such as volume of repeatable work, leader sponsorship, team readiness, and availability of proven use cases. State plainly what is deferred and why.
• Establish baseline usage with data from the AI Center of Excellence and tool reporting, and define a short set of adoption measures.
• Keep the plan aligned with Research strategic priorities and with the operating rhythm run by BM&SP.

2. Learning Design & Content Development

• Define learning objectives and key learning points for each priority audience with Research leaders and subject-matter experts, so every asset targets a specific use case and behavior.
• Develop short, practical materials in plain language that make AI tools and workflows simple: one-page guides, example prompts and workflows, recorded demos and short videos, and micro-learning modules where useful. Use Wiley templates and standards.
• Extract core information from AI Center of Excellence guidance, existing procedures, subject-matter experts, and crew team pilots, and turn it into role-ready material.
• Pilot materials with a small group and obtain the needed approvals, including AI Center of Excellence review of policy content, before release.
• Design for accessibility and varied learning styles, including assistive technologies.
• Research learner and business needs for each audience, and refine materials from feedback. Keep content current as tools, features, and guardrails change, and retire what is out of date.

3. Everyday Adoption of Copilot and Claude

• Build role-based starter plans for each priority role family: top use cases, example prompts, short sessions, and office hours.
• Schedule, coordinate, and deliver short live and virtual sessions and office hours, timed to tool rollouts and key points in the Research calendar.
• Track training requests, attendance, and completion, and use the data to decide what to build, adjust, or retire next.
• Build and support a network of peer champions across Research teams, with a light toolkit and regular check-ins. Coach champions and any colleagues supporting this work on content and delivery standards.
• Equip people managers with talking …