Key Responsibilities Lead the development and execution of
sourcing strategies
across packaging and pallet categories. Improve packaging
specifications , evaluate materials, and implement sustainable alternatives. Cleanse, transform, and structure large datasets to support sourcing and supplier award recommendations. Run
RFx processes
(RFQ/RFI/RFP) including digital sourcing events and e‑auctions. Analyze market trends, supplier cost drivers, and risk factors; translate insights into actionable strategies. Drive
cost‑saving initiatives , value engineering, and continuous improvement programs. Build and maintain strong supplier relationships, negotiate commercial agreements, and ensure quality and sustainability compliance. Visit suppliers, manufacturing sites, and distribution centers to assess packaging performance and drive improvements. Collaborate cross‑functionally with engineering, logistics, sustainability, and quality teams to align sourcing strategies with business needs.
Requirements Strong experience in
packaging procurement , packaging engineering, or related categories (e.g., corrugated, flexible, rigid, pallets, wooden/plastic logistics carriers). Solid understanding of
TCO modeling , cost breakdowns, and procurement analytics. Proven ability to run structured RFx processes, negotiate with suppliers, and manage contracts. Experience implementing
sustainable packaging
solutions or improvement initiatives. Strong analytical capabilities with proficiency in Excel, Power BI or similar tools. Experience working in a
global environment , ideally across Europe and North America. Willingness to travel to supplier sites and logistics facilities as needed. Excellent communication and stakeholder‑management skills. Ability to work
on‑site 4 days per week in Hamburg
NOTE / HINWEIS:
EN: Please refer to Fuchsjobs for the source of your application
DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung
Stelleninformationen
Veröffentlichungsdatum:
21 Mär 2026
Standort:
Hamburg
Einsatzort:
Mannheim
Typ:
Vollzeit
Arbeitsmodell:
Vor Ort
Kategorie:
Erfahrung:
2+ years
Arbeitsverhältnis:
Angestellt
KI Suchagent
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