Responsibilities
- 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, versátil working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. Career development opportun

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