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The AI Learning Manager is responsible for the operational delivery and execution of AI learning and enablement activities across the organization. This includes facilitating workshops, supporting AI champions, and ensuring AI tools are effectively integrated into employee workflows.
Core outcome: Deliver AI learning, adoption, and enablement activities that help employees build practical capability, apply learning in their day-to-day work, and successfully adopt approved AI tools and workflows.
Role Purpose
The AI Learning Manager is responsible for the operational delivery and execution of AI learning and enablement activities across Kroll.
Working under the direction of the AI Learning and Enablement Lead, this role supports the rollout of learning pathways, workshops, office hours, champion activities, communications, and adoption programmes that help employees confidently and responsibly apply AI in their work.
The role focuses on execution, facilitation, learner support, stakeholder engagement, and adoption reinforcement. It ensures that AI learning moves beyond content consumption and becomes embedded into workflows, habits, and day-to-day ways of working.
Core Responsibilities
Learning deployment and delivery
Coordinate and deliver AI learning activities across service lines and corporate functions, including launches, cohorts, workshops, office hours, reinforcement activity, and learning communications.
Training facilitation and learner support
Facilitate practical sessions and provide day-to-day learner support so employees can apply approved AI tools and workflows confidently and responsibly.
Champion and community support
Work with AI Champions to run office hours, prompt challenges, showcases, and use case discovery activities, while capturing feedback, questions, and adoption barriers.
Service line engagement
Partner with service line leaders, managers, and local stakeholders to keep learning relevant to business needs, reinforce expectations, and support local adoption plans.
Learning operations
Maintain learning resources, session logistics, programme materials, and documentation to ensure delivery runs smoothly and learners can access what they need.
Measurement and improvement
Track participation, completion, feedback, and adoption indicators; use the data to improve delivery, strengthen the learner experience, and inform future learning priorities.
Required Experience and Capabilities
Preferred Experience
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