Adidas MANAGER DEPLOYMENT 

Singapore, Singapore 

397993608

Job Title: Manager Deployment Analytics (m/f/d)

Network based on capacities and volumes ensuring that the European DC Network is utilized in the most optimal way and ultimately enables European demand to be fulfilled on time and in full (OTIF) according to customer requirements, in the most efficient way. In his role, the Data Engineer - SCM Deployment Europe is key for the efficient allocation strategy of the ranged articles in Europe by. executing the range allocation in the strategic deployment software. The role is responsible for all related processes.Key Responsibilities:Model pre-season deployment of the range based on forecast, agreed deployment principles and capacities across all European DCs in the optimization software.
Run different scenarios, provide output, inventory projections and recommendations for SLT on the season’s strategy.
Execute pre-season deployment of articles based on the model recommendation to secure on-time supply purchasing.
Build new optimization models to ensure efficient network utilization and the highest level of operational automation for decision making in season.
Improve and automate operational workflows, using deployment strategic software or similar.
Work closely with software vendor and internal product owner on the long-term vision for the architectural software set-up and ensuring 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 the key stakeholders. Collect learnings on the deployment strategy performance and translate strategy changes into the model of the next season.
Knowledge Skills and Abilities:
Proven experience with supply chain optimization industry best practices
Experience with creation of supply chain network optimization models in Llamasoft or similar optimization industry 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 English (verbal and written)

Requisite Education and Experience / Minimum Qualifications:
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 end user or designer Experience in working with stakeholders and experts at various organizational levels