BPE Demand Expert: AI-Driven Planning & Data

PIERRE FABRE S.A.

Castres

Sur place

EUR 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Pierre Fabre Laboratories seeks a senior BPE Demand Expert to join the Center of Excellence within Global Planning. You will drive end-to-end demand management, lead lean initiatives, and define global standards and KPIs for a multinational supply chain.

In this role, you will build capabilities, design upskilling journeys in French and English, and push data-driven planning through dashboards (Power BI, Tableau) while exploring AI/ML opportunities and contributing to a forward-looking planning

Qualifications

Master’s degree in Supply Chain, Engineering, Data or equivalent.
10+ years of experience in BPE, Demand Planning, or Supply Chain within an international environment.
Lean/Six Sigma proficiency (green or black belt a plus) and process modelling expertise (BPMN).
Functional expertise on APS tools (Kinaxis, FuturMaster).
Hands-on experience in AI/ML applied to planning and proficiency in data tools (Power BI, SQL, Python).
Strong influencing leadership, excellent communication skills, and fluent English required.

Responsabilités

Process & Operational Excellence – Co‑build demand management processes end‑to‑end, lead lean initiatives (VSM, Kaizen, waste elimination), define and deploy global standards and KPIs, and facilitate CoE governance.
Capability Building, Training & Development – Define the Demand Planner skills framework, design upskilling journeys, deliver training sessions in French and English, develop audit grids, drive change management, and animate a global planning expert community.
Data Vision & Solutions – Structure planning data flows, define analytics dashboards (Power BI, Tableau), frame functional requirements for advanced planning tools, conduct impact analyses, and represent the CoE in steering committees.
Innovation & Benchmarking – Identify and scale AI/ML use cases, lead transformation projects, conduct internal and external benchmarking, monitor trends and tools, explore LLM and generative AI opportunities, and evangelize a data culture across Global Planning.