Manager Deployment

adidas

Full-time - Mid Level

Leather and Allied Product Manufacturing

About the position

The Manager Deployment Analytics role is crucial for optimizing product allocation across the European Distribution Center (DC) Network. This position focuses on ensuring that the network is utilized efficiently to meet customer demand on time and in full (OTIF). The Data Engineer will manage the pre-season allocation model, execute deployment strategies, and enhance operational workflows to support the overall supply chain management strategy in Europe.

Responsibilities

• Own, maintain and develop the pre-season allocation model in the optimization software (currently Llamasoft).
• Collect and update data on Supply Chain Management (SCM) before the season starts to ensure the optimization model reflects the latest network state and SCM strategy.
• Model pre-season deployment of the range based on forecast, deployment principles, and capacities across all European DCs in the optimization software.
• Run different scenarios, provide output, inventory projections, and recommendations for Senior Leadership Team (SLT) on the season's strategy.
• Execute pre-season deployment of articles based on model recommendations to secure on-time supply purchasing.
• Build new optimization models to ensure efficient network utilization and high levels of operational automation for decision-making in season.
• Improve and automate operational workflows using deployment strategic software or similar.
• Work closely with software vendors and internal product owners on the long-term vision for the architectural software setup and ensure best practices are used in the market deployment model.
• Enhance data reporting (e.g., in Power BI, MSRT) and communicate deployment state and progress to key stakeholders.
• Collect learnings on deployment strategy performance and translate strategy changes into the model for the next season.
• Maintain excellent relationships with all cross-functional partners, support allocation model & purchasing, and ensure transparency for the seasonal deployment strategy.

Requirements

• Proven experience with supply chain optimization industry best practices.
• Experience with creation of supply chain network optimization models in Llamasoft or similar platforms like Anaplan, Anylogistix, Blue Yonder, IBM Watson/Sterling, etc.
• Strong data analytical skills (experience with Python, R).
• Strong problem-solving skills using a data-driven approach.
• Analytical and process thinking.
• Experience with data visualization tools (Power BI, Tableau).
• Ability to work in a fast-paced environment with different international cultures.
• Fluent in English (verbal and written).
• University degree in Industrial Engineering, Operations Research, Applied Mathematics/Statistics, Data Science, Computer Science, Supply Chain Management or equivalent combination of education and experience.
• 3+ years of experience working in Supply Chain/IT.
• SAP AFS/FMS/S4 MM experience preferred.
• Knowledge of MS Access and understanding of relational databases.
• Experience with Supply Chain optimization software either as an end user or designer.
• Experience in working with stakeholders and experts at various organizational levels.