Global Category Manager Paper

• Function: Global Procurement 
• (Sub)department: Global Category Manager Paper Labels (Packaging) 
• Job purpose: Secure interrupted supply for the Paper labels and alu foils category and benchmark the category with the ultimate goal to reduce the cost base and become best in class
• Reports to: Global Category leader Paper Packaging 
• Direct Reports: None 

• Roles & responsibilities 
• Develop a long term vision & implement multi-year category strategy;
• Lead e-auctions, tenders and negotiations;
• Execute competitive benchmark studies and implement DSV-projects in the various regions;
• Enhance should cost model and analyse opportunities for the category
• Drive our sustainability agenda for the paper category;
• Drive our upstream sourcing activities;
• Do extensive stakeholder management, both internally (OpCo’s & Group functions) and externally, to ‘make it happen’;
• Secure uninterrupted supply for all materials; complex category
• Perform spend analysis, budgeting, operationalization of contracts and follow-up of ad-hoc requests;
• Report on performance of the category (spend, contract compliance, benefit tracking);
• Further simplify complexity in the category and share recommendations to the business

Experience & profile (what & how) 

What: 

• Education: Master degree in business, financial, logistics, commercial, economical or procurement discipline;

• Work experience: minimum of 5 years. Experience in leading negotiations, project management and consultancy is a pre
• Extensive experience in strategic sourcing with a preference for direct materials;
• Language(s): Fluent English language required (verbally & written);

How: 

• Key Leadership expectations: Develop, connect, shape & deliver using the HEINEKEN behaviours. 

• Communication skills: Manages relationships with senior stakeholders on a strategic business partner level. 

• Other skills: Ability to drive change & continuous improvement in a decentralized environment to successfully deliver strategic multi-country projects. Is able to analyse big data sets and structure the data from complex to simplified models.