Job Description SummaryAs Head of Pipeline & Launch Forecasting, you will Lead the creation of a global forecasting capability that improves how Sandoz plans, prioritizes, and launches products across across generics, biosimilars, and specialty assets. You will translate an ambitious target operating model into a fully operational global capability, integrating advanced analytics, data science, and commercial insight to deliver robust, scenario-driven forecasts across the pipeline lifecycle.Job DescriptionPosition Purpose:As Head of Pipeline & Launch Forecasting, you will Lead the creation of a global forecasting capability that improves how Sandoz plans, prioritizes, and launches products across across generics, biosimilars, and specialty assets. You will translate an ambitious target operating model into a fully operational integral capability, integrating advanced analytics, data science, and commercial insight to deliver robust, scenario-driven forecasts across the pipeline lifecycle.Your Key Responsibilities:Your responsibilities include,



but not limited to:Lead the end-to-end implementation of the pre-launch forecasting program and centralized global capability hub. Deliver scenario-based forecasts to support portfolio and launch decisions.Translate the target operating model into a fully operational global capability. Build and lead a high-performing team of forecasting experts, data scientists, and analytics professionals.Define and embed a best-in-class forecasting framework, including methodologies, tools, and governance.Drive the integration of advanced analytics, AI/ML models, and automation into forecasting processes.Ensure high-quality, consistent, and auditable forecasts across assets, markets, and geographies.Act as a strategic partner to global, regional, and local commercial teams, ensuring strong business alignment.Establish governance frameworks, decision rights, and processes across the forecasting lifecycle.Lead change management and drive adopti

📌 Head Of Pipeline (Madrid)
🏢 Sandoz
📍 Madrid