This is probably one of the positions that most clearly explains what AI transformation is becoming in large groups.
CMA CGM is recruiting a Change Leader AI.
👉 an AI strategy to be deployed across a global group
👉 uses which are increasing in the professions
👉 technological partnerships that are intensifying
👉 and a seemingly simple issue: ensuring that AI is really adopted
CMA CGM is not looking for a “communication around AI” profile, but a builder capable of transforming a technological ambition into collective dynamics.
Someone who can create traction where many AI programs still fail:
- structure change governance at group level
- bring on board the business lines, IT, HR and internal sponsors
- build a network of ambassadors in different geographies
- translate technical topics into understandable and actionable messages
- track actual adoption, uses, and value produced
The role is central, because it is located at the exact place where the battle for AI in business is now being played out:
not in technological demonstration,
but in the ability to change practices, reflexes and organizations.
In fact, the position covers a wide scope:
- management of the change strategy around AI deployments
- acculturation of teams at group level
- coordination of communication and training content
- animation of workshops with stakeholders
- implementation of KPIs, dashboards and reporting tools to measure adoption and impact
The role is simple on paper, much less so in reality:
- bring together very different teams around the same reading of AI
- avoid projects getting stuck at the experimentation stage
- establish sustainable adoption mechanisms in an international and changing environment
This position does not only require “driving change”.
It requires understanding that, in AI, the value comes not just from the model or tool, but from the speed at which an organization learns to use it usefully.
The question is simple:
- who knows how to move AI from a subject of interest to a subject of execution? To discover the offer, click here
