This opportunity is suited to a practical APAC Training Advisor who can translate AI Productivity knowledge into clear business outcomes for assignments linked to Riyadh.

Brief Overview

This scheduled role is suited to a delivery-focused advisor with hands-on AI Productivity credibility and experience working with professional teams, managers, and cross-functional business users across Asia. The work centres on practical application, learner confidence, and helping clients translate emerging AI capability into practical business use and team-level adoption.

The role is intended for trainers who can move comfortably between subject expertise, stakeholder discussion, and practical learner application. Sessions should remain relevant to real workplace use rather than abstract theory.

The expected delivery mode for this brief is Hybrid, and the role should be approached as a Consulting requirement.

Core Responsibilities

• Support participants with examples, clarifications, and implementation guidance that reduce the gap between theory and day-to-day application.
• Refine materials where needed so the programme remains current, usable, and appropriate for the target audience.
• Adapt delivery to the client brief, participant seniority, and the sector context without losing clarity or pace.
• Keep the learning intervention aligned with business priorities, not just topic coverage, so the work delivers visible value to the client.
• Use practical case studies, scenarios, tools, or workflows to make AI Productivity content easier to apply after the session.
• Facilitate discussion, questions, and applied exercises in a way that keeps learning commercially relevant and outcome-focused.

Candidate Background

Clear subject-matter credibility in AI Productivity; prior exposure to multinational or enterprise audiences; commercial understanding of AI tools, business application scenarios, and safe adoption practices; confident supporting learners with practical examples, tools, and Q&A.

Best suited to professionals with backgrounds in AI adoption, automation, digital transformation, or business technology enablement, ideally with experience working with multinational clients or enterprise teams in Asia.

• Proven subject-matter credibility in AI Productivity with evidence of practical business or corporate application.
• Availability for project-based work linked to Riyadh, Saudi Arabia, and wider Asia where relevant.
• Good judgement around pacing, audience engagement, and the balance between technical depth and usability.

Expression of Interest

We welcome interest from credible trainers who can demonstrate strong AI Productivity delivery capability and a practical approach to corporate learning.