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 environmentsAbility 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 (dependent on role), access to tailored health support, and meaningful ways to give back to the community. Career development opportunities are available through the Twist pla

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