Global Category Manager – Secondary Packaging & Data Analytics
Ferring Pharmaceuticals
Lisbon, Portugal
On-site
Global sourcing strategies for secondary packaging
Data-driven business partner
Develop global category strategies
Ferring Pharmaceuticals is seeking a Global Category Manager for Secondary Packaging & Data Analytics in Lisbon, Portugal. The role involves developing global sourcing strategies and leveraging data analytics to optimize procurement processes while fostering collaboration across various departments
Job Summary
The Global Category Manager - Secondary Packaging & Data Analytics is responsible for developing and executing global sourcing and category strategies for secondary packaging materials, while acting as a data-driven business partner to the Direct procurement organization.
The role combines classical global category management with strong analytical, database and AI-oriented capabilities to support fact-based decision making, risk mitigation and value creation across Ferring’s manufacturing network.
Ferring Pharmaceuticals helps people around the world build families and live better lives through scientific advances in reproductive and women’s health, gastroenterology and urology.
Matching Summary
Match Score: 85
Ferring Pharmaceuticals is seeking a Global Category Manager for Secondary Packaging & Data Analytics in Lisbon, Portugal. The role involves developing global sourcing strategies and leveraging data analytics to optimize procurement processes while fostering collaboration across various departments.
Skills & Requirements
Must-have
Global sourcing strategies for secondary packaging
Data-driven business partner
Develop global category strategies
Lead global sourcing initiatives
Build and maintain procurement databases
Use advanced analytics and AI tools
Manage supplier relationships and risks
Nice-to-have
Entrepreneurial and innovative mindset
Collaborate and respect diverse contributions
Continuous improvement and innovation
Challenge the status quo using data
Key Requirements
3-7 years procurement or category management experience
Academic degree in Engineering, Economics, Supply Chain, Data Analytics or related field
Experience with packaging, direct materials, or manufacturing-related categories
Strong analytical mindset with experience handling large datasets
Exposure to AI or automation tools is highly desirable