What does the mandate own?
The data and AI mandate owns the data infrastructure, the governance around it, and the AI use cases that run on top. The operator carries the seat, builds the platform that makes data a decision asset, and stands up conversational and agentic AI in production rather than in a slide.
When do you bring it in?
Bring the mandate in when data is trapped in silos, when an AI ambition has no platform under it, or when a data and AI seat is open during a build. It fits a transition where the infrastructure and the first use cases have to be shipped together.
What does the operator bring?
The collective steps in with a CTO trained at research level in big data and AI who has run the group data seat, and a product operator who has deployed conversational AI in production. Together they hand back a data platform and a set of live AI paths, documented for a permanent owner.
What does the mandate own?
The data and AI mandate takes the seat that owns the data infrastructure, its governance, and the AI use cases that run on it. The operator builds the platform that turns data into decisions and stands up conversational and agentic AI in production, not in a deck.
When do you bring it in?
Bring the mandate in when data is trapped in silos, when an AI ambition has no platform under it, or when the seat is open during a build. The infrastructure and the first use cases ship together, carried by the operator holding the role.
What does the operator bring?
The collective steps in with a CTO who holds a research master in big data and AI from Arts et Metiers, ran the group data seat at AXA as CTO Digital and Big Data, and is a certified GCP Professional Data Engineer and Cloud Architect. He is paired with a product operator who led conversational AI at Orange Business on IBM Watson, deploying 149 dialogue paths including 79 advanced flows. The mandate hands back a platform and live AI use cases documented for a permanent owner.
- What does an interim Chief Data and AI Officer own?
- The mandate owns the data infrastructure, its governance, and the AI use cases that run on it, building the platform and shipping the first production use cases as the accountable role holder rather than as an adviser.
- When should a company bring in this mandate?
- Bring it in when data sits trapped in silos, when an AI ambition has no platform beneath it, or when the data and AI seat is open during a build and the infrastructure and first use cases have to ship together.