All Dataleo news, jobs, analyses and tutorials around Analytics in Supply Chain and Operations.
This role resembles a Supply Chain AI Build Office mandate: selecting use cases, framing decisions, organizing adoption and defining the industrialization route. Model governance and measurable value should be central.
The role is relevant to forecast governance, analytical model ownership, scenario planning and the translation of uncertain demand into accountable business decisions.
The role is relevant because logistics transformation depends on how data, automation and operating-model choices are integrated into governed execution workflows.
The role is relevant to the planning operating model: reliable data, common definitions and clear escalation rules are prerequisites for scalable global planning.
The role is relevant where revenue signals connect to demand planning, inventory and supply decisions; governance is needed around assumptions, model versions and downstream use.
