Responsibilities

¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos.

-
- Develop and implement AI-enabled analytical and agent-based solutions supporting Supply Chain decision‑making
- Design and operationalize AI agents capable of monitoring planning integrity, KPI deviations, and operational anomalies
- Support optimization and explainability initiatives around IBP RCCP Optimizer outputs
- Build AI‑assisted analytics, scenario simulation, and recommendation capabilities
- Develop operational KPI monitoring, anomaly‑detection, and predictive alerting capabilities
- Support rapid root‑cause analysis and decision‑support automation
- Develop AI‑supported master data integrity and consistency monitoring frameworks
- Collaborate with Planning, Manufacturing, Analytics, and IT teams to translate operational needs into scalable solutions
- Support integration of external and internal data sources into analytical and AI‑agent models




- Contribute to the industrialization of AI‑enabled Supply Chain capabilities together with IT teams

Qualifications

-
- Strong hands‑on experience in AI/ML‑enabled analytics environments
- Experience developing AI‑driven, agent‑based, or analytical solutions in Supply Chain or Operations
- Strong Python / data analytics capabilities
- Experience with optimization or advanced planning environments
- Exposure to SAP IBP / supply planning processes is highly desirable
- Experience with anomaly detection, monitoring, or decision‑support environments
- Ability to operate in highly cross‑functional business environments

Preferred Experience

-
- Pharma or regulated industry experience
- Exposure to AI agents and decision intelligence environments
- Experience with scenario planning or optimization frameworks
- Exposure to master data governance or planning data integrity initiatives

Benefits
Benefits include generous annual leave, reward plans, adaptable working schedules (depen

📌 Supply Chain AI Solutions Engineer (Madrid)
🏢 Teva Pharmaceuticals
📍 Madrid