ResponsibilitiesDevelop and implement AI-enabled analytical and agent-based solutions supporting Supply Chain decision‑makingDesign and operationalize AI agents capable of monitoring planning integrity, KPI deviations, and operational anomaliesSupport optimization and explainability initiatives around IBP RCCP Optimizer outputsBuild AI‑assisted analytics, scenario simulation, and recommendation capabilitiesDevelop operational KPI monitoring, anomaly‑detection, and predictive alerting capabilitiesSupport rapid root‑cause analysis and decision‑support automationDevelop AI‑supported master data integrity and consistency monitoring frameworksCollaborate with Planning, Manufacturing, Analytics, and IT teams to translate operational needs into scalable solutionsSupport integration of external and internal data sources into analytical and AI‑agent modelsContribute to the industrialization of AI‑enabled Supply Chain capabilities together with IT teamsQualificationsStrong hands‑on experience in AI/ML‑enabled analytics environmentsExperience developing AI‑driven, agent‑based,



or analytical solutions in Supply Chain or OperationsStrong Python / data analytics capabilitiesExperience with optimization or advanced planning environmentsExposure to SAP IBP / supply planning processes is highly desirableExperience with anomaly detection, monitoring, or decision‑support environmentsAbility to operate in highly cross‑functional business environmentsPreferred ExperiencePharma or regulated industry experienceExposure to AI agents and decision intelligence environmentsExperience with scenario planning or optimization frameworksExposure to master data governance or planning data integrity initiativesBenefitsBenefits 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 platform, offering learning progr

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