Manager Supply Chain Data Transformation

The Supply Chain Intelligence (SCI) team drives excellence in reporting and analytics capabilities to increase transparency and visibility across the entire Supply Chain organisation, and provides insights and scenario-based simulations to drive improvements. The role ensures that the Global SCM business has visibility of key data points and performance drivers so that relevant decisions are made with the best understanding of business objectives, performance and KPI impacts. It also ensures that all relevant attributes and metrics are developed and reported in a format and frequency suitable to meeting business requirements and objectives.

• Ensure close connection with the markets and/or Global functions to secure a clear understanding of the current setup and practices.
• Interact with the BPMs and system Product Owners from the different SCM functions to capture systems and process changes.
• Project plan the interdependencies between projects and ensure suitable timelines are maintained on projects and process improvements.
• Lead a team of external data engineers and IT developers, define the data engineering tasks and monitor ETLs on a regular basis.
• Act as a solution architect to implement efficient data models and data pipelines by following the data governance rules defined within the lakehouse.
• Reduce cost and improve performance by optimising the data pipelines and attribute/metric logics.
• Act as a Product Owner by securing that Supply Chain Intelligence reporting use cases are properly translated into technical requirements to be handed over to the engineers in a consistent and harmonised way.
• Prioritise, plan, monitor and communicate the reporting development done in an Agile mode by the IT engineers in the Back-End Application layer, in close collaboration with the Global Data Domain team in charge of data ingestion.
• Recommend and implement Data Management improvements by determining systems and setting up optimal interfaces and flow of data to ensure utmost efficiency and secure One Version Of The Truth in line with Data Domain guidelines.
• Drive efforts towards data quality, standardisation and harmonisation, and manage Supply Chain end-to-end visibility improvements to deliver relevant reporting products in a timely manner.
• Deliver on the evolution of SCI requirements on data, reporting and KPI standards, and manage the process of new Supply Chain visibility requirements from new demand and incidents intake to communication and training associated with new tools and processes.
• Create detailed and up-to-date documentation.
• Collaborate closely with the different teams involved in the end-to-end data flow to clearly understand interdependencies and responsibilities, and develop technical knowledge to fully understand the adidas reporting framework and support quick issue identification and resolution.

• Master's degree or equivalent in information technology or in the areas of supply chain management, logistics, planning or business administration from an accredited college or university.
• Minimum 2-3 years of relevant work experience.
• An equivalent combination of education and/or experience may be substituted for the degree.
• Strong coding skills, with SQL as a must-have.
• Hands-on experience with Databricks and/or any other database or data warehouse tools.
• Strong understanding of data lake, ETL, deployment tools (such as GitHub) and cloud technologies (AWS, Azure).
• Good understanding of BI tools (such as Power BI).
• Ability to understand and design data into efficient reporting.
• Proficient in relational database concepts with a very good working knowledge of ERP (preferably SAP S/4 HANA) and planning systems (preferably SAP IBP).
• Expert in Agile project management principles and methodologies.
• Good understanding of Supply Chain principles and operating processes.
• End-to-end mindset with a big-picture view of the problems at hand.
• Ability to work under tight deadlines.
• Excellent logical thinking and analytical skills, and a strategic thinker.
• Team player with strong change and stakeholder management skills.

• Python (nice to have).
• PySpark (nice to have).

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