Global Network
Pubblicato il 13-08-2026 - Teva Pharmaceutical Industries in Milano
We Are TevaWe're Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Scorra verso il basso per trovare i dettagli completi dell'offerta, inclusa l'esperienza richiesta e le mansioni associate. 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 ImpactLead the end-to-end strategy, optimization, and execution of Teva's Solids & Semi-Solids manufacturing network, ensuring alignment between portfolio demand, manufacturing capabilities, and long-term financial objectives.The role is accountable for defining and executing the network long-term strategy (LTS), driving footprint optimization, cost competitiveness, supply resilience, and compliance,
while enabling sustainable growth under Teva's Pivot to Growth (PtG) agenda.How You'll Spend Your DayNetwork Strategy & Long-Term PlanningDefine and continuously evolve the global manufacturing network strategy for OSD and Semi-SolidsLead LTS (Long-Term Strategy) and LRP (Long-Range Planning) processes across sites, regions, and portfolioTranslate demand scenarios into capacity, footprint, and investment roadmapsIdentify and execute network optimization levers:Site specialization / hub strategy (e.g., cost vs service sites)Consolidation / divestment opportunitiesInternal vs External Manufacturing (IH vs ExM) balanceEnsure alignment with EUROW strategy, US market needs, and emerging markets growthPortfolio–Network IntegrationAct as the integrator between Global Portfolio, Supply Chain, Finance, and OperationsEnsure optimal product-to-site allocation based on:Cost (CPU / COGS optimization)Complexity (e.g.,