Global Senior Pharma Process Manager– MS&T
Overview The role is a senior-level position within the Global Manufacturing Science & Technology (MS&T;) department at the Menarini Group, based in Florence. Reporting directly to the Global MS&T; Lead , the manager acts as a strategic technical bridge between R&D;, Manufacturing, Quality, Regulatory Affairs, Supply Chain, and CMOs. The primary mission is to lead industrialization, process optimization, and technology transfer programs to ensure robust, scalable, and compliant manufacturing processes across the product lifecycle.
Main Activities & Responsibilities
Industrial & Process Strategy
- Assess Scalability: Support industrialization and technology transfer activities by evaluating process scalability, manufacturability, and operational robustness.
- Risk & Parameter Identification: Contribute to identifying and evaluating Critical Process Parameters (CPPs), Critical Quality Attributes (CQAs), and process-related risks that impact product quality, reliability, and supply continuity.
- Strategic Partnering: Partner with the MS&T; Lead and cross-functional stakeholders to evaluate manufacturing strategies, balancing quality, compliance, timing, cost, and operational efficiency.
- Issue Escalation: Escalate technical and operational issues when appropriate, providing data-driven an
Main Activities & Responsibilities
Industrial & Process Strategy
- Assess Scalability: Support industrialization and technology transfer activities by evaluating process scalability, manufacturability, and operational robustness.
- Risk & Parameter Identification: Contribute to identifying and evaluating Critical Process Parameters (CPPs), Critical Quality Attributes (CQAs), and process-related risks that impact product quality, reliability, and supply continuity.
- Strategic Partnering: Partner with the MS&T; Lead and cross-functional stakeholders to evaluate manufacturing strategies, balancing quality, compliance, timing, cost, and operational efficiency.
- Issue Escalation: Escalate technical and operational issues when appropriate, providing data-driven an