Global Category Manager – Secondary Packaging & Data Analytics
Ferring Pharmaceuticals
Portugal
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3-7 years procurement experience
Global category strategy development
Advanced data analytics and ai tools
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Ferring Pharmaceuticals is seeking a Global Category Manager for Secondary Packaging & Data Analytics to develop and execute global sourcing strategies while leveraging data analytics for decision-making. The ideal candidate will have 3-7 years of procurement experience, particularly in the pharmaceutical or medical device industries, with strong analytical skills and the ability to manage stakeholder relationships.
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Job Summary
The role combines classical global category management with strong analytical, database, and AI-oriented capabilities to support fact-based decision making.
Ferring Pharmaceuticals is an entrepreneurial and innovative global team focused on scientific advances in reproductive and women's health, gastroenterology, and urology.
The company offers an inclusive support package called 'Building Families at Ferring' which provides equal and accessible policies for all employees who wish to start a family journey.
Matching Summary
Match Score: 75
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Ferring Pharmaceuticals is seeking a Global Category Manager for Secondary Packaging & Data Analytics to develop and execute global sourcing strategies while leveraging data analytics for decision-making. The ideal candidate will have 3-7 years of procurement experience, particularly in the pharmaceutical or medical device industries, with strong analytical skills and the ability to manage stakeholder relationships.
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Skills & Requirements
Must-have
3-7 years procurement experience
Global category strategy development
Advanced data analytics and AI tools
Stakeholder management in global environment
Total Cost of Ownership optimization
Nice-to-have
Experience in pharmaceutical industry
Packaging or direct materials exposure
AI or automation tool familiarity
Cross-functional project leadership
Multicultural collaboration skills
Key Requirements
Academic degree in Engineering, Economics, Supply Chain, or Data Analytics