Head of Supply Chain Data & Analytics
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- Not specified
- Category
- Logistics
- Posted
Skills
Must have
- A Master's degree in a quantitative, Engineering, Computer Science, Supply Chain, Business or related discipline.
- Demonstrable experience moving a non-data-native organization towards a truly data-driven operating model.
- Strong expertise across data ownership, stewardship and governance as well as BI, advanced analytics and data science.
- Current knowledge of modern data architecture, advanced analytics and applied AI.
- Experience translating AI opportunities into implemented operational use cases with measurable business value.
- Strong understanding of end-to-end supply chain Operations and its economics.
- Experience building a new Data & Analytics function, including operating model, recruitment and team development.
- Experience establishing data-driven performance management and continuous-improvement routines.
- Experience leading technical teams in an international, multi-country environment.
- The stakeholder strength to challenge senior operational leaders on their performance while maintaining their trust and cooperation.
- Experience within medtech, pharma or another regulated distribution environment is an advantage.
- English at C1 professional level; Dutch or German is helpful but not required.
- Willingness to travel regularly across our European markets and distribution sites.
Full description
Are you a senior Data & Analytics leader who knows how to turn operational data into measurable business performance? Have you built data capabilities from the ground up and moved organizations from retrospective reporting towards truly data-driven performance management?
At Mediq, we are looking for a Head of Supply Chain Data & Analytics to shape and deliver our Operations Data & Analytics strategy across Europe.
You will build the Group Supply Chain Data & Analytics function, create a trusted operational data foundation and use analytics and AI to improve cost, productivity, service and working capital.
You report directly to the Chief Supply Chain Officer, a member of the Executive Board, and are a member of the Operations Leadership Team. You have a dotted reporting line to the Head of IT & MDM for platform and architecture alignment.
Your impact at Mediq
Mediq Operations spans approximately 900 people across 14 countries. Our operational platform is consolidating from 25 warehouses to 4 hubs and from 20 ERP environments to 3. We manage approximately €140 million in inventory and around €100 million in Group Supply Chain OPEX.
Our ambition is to make Operations measurable, comparable and continuously improvable across every market and site.
As Head of Supply Chain Data & Analytics, you build the capability that makes this possible. You create common definitions, trusted data and clear ownership and establish a performance-management approach that allows us to understand not only what happened, but why – and what we need to change.
Your role covers both ends of the discipline: operational data ownership and governance on the way in, and state-of-the-art analytics and AI on the way out.
What will you do?
You will shape the strategy and build the function while simultaneously using data to improve operational performance.
Your key responsibilities include:
- Building the Group Supply Chain Data & Analytics function from the ground up, including its operating model, team, capabilities, tooling and ways of working.
- Translating the Operations Data & Analytics strategy into a roadmap that first establishes strong data foundations and then scales advanced analytics and applied AI.
- Recruiting, developing and leading a specialist team across data engineering, BI, data science and business analysis.
- Taking ownership of operational data from source systems into the Group data platform and establishing clear data ownership and stewardship.
- Creating one trusted definition for key operational metrics across our European markets.