Strategic Supply Chain & Demand Planner — Iberia

Takeda; Madrid; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Teva is seeking a Senior Supply Chain Decision Scientist in Madrid to develop and operationalize AI-assisted planning, optimization, analytics, and decision‑support capabilities for end-to-end supply chain processes.

You will build AI-agent‑assisted monitoring, analyze outcomes, and drive KPI simulations, anomaly detection, and predictive alerts while collaborating with planners, manufacturing, analytics, and IT teams to improve planning transparency.

Responsabilidades

• Develop AI-assisted analytical and decision‑support capabilities for Supply Chain operations
• Build AI‑agent-supported monitoring and operational analytics capabilities
• Analyze planning outcomes and identify optimization opportunities
• Build KPI impact simulations and operational analytics models
• Develop root‑cause analysis, anomaly‑detection, and predictive alerting frameworks
• Support dynamic planning parameter initiatives
• Build scenario simulations and operational decision‑support tools
• Support AI-enabled master data integrity and consistency initiatives
• Collaborate closely with planners, manufacturing teams, analytics teams, and IT
• Improve planning explainability and operational transparency

Descripción del empleo

We Are Teva

We're Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it's innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we're dedicated to addressing patients' needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

As a Senior Supply Chain Decision Scientist , you will develop and operationalize advanced planning, optimization, analytics, AI-agent-enabled monitoring, and AI-assisted decision‑support capabilities for end-to-end Supply Chain processes.

How You'll Spend Your Day

• Develop AI-assisted analytical and decision‑support capabilities for Supply Chain operations
• Build AI‑agent-supported monitoring and operational analytics capabilities
• Analyze planning outcomes and identify optimization opportunities
• Build KPI impact simulations and operational analytics models
• Develop root‑cause analysis, anomaly‑detection, and predictive alerting frameworks
• Support dynamic planning parameter initiatives
• Build scenario simulations and operational decision‑support tools
• Support AI-enabled master data integrity and consistency initiatives
• Collaborate closely with planners, manufacturing teams, analytics teams, and IT
• Improve planning explainability and operational transparency