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, 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 thr

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