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Manager Supply Chain Data Transformation Job
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Summary
Manager who owns back-end data engineering for a Supply Chain Intelligence vertical in Amsterdam: building automated data models, ETL pipelines and unified reporting so the global SCM organization can track key performance drivers and KPIs, while leading a team of external data engineers/IT developers.
Manager Supply Chain Data Transformation
The Supply Chain Intelligence (SCI) team drives excellence in reporting & analytics capabilities to increase transparency and visibility across the entire Supply Chain organization. In addition, the team provides insights and scenario-based simulations to drive improvements.
The role ensures that the Global SCM business has visibility to key data points and performance drivers to ensure relevant decisions are made with the best understanding of business objectives, performance and KPI impacts. The role will also ensure that all relevant attributes and metrics are developed and reported in a format and frequency suitable to meeting business requirements and objectives with the following key deliverables: - Create data transparency on key performance drivers in most automated way. - Contribute to create a unified version of the truth enhancing collaboration across functions. - Ensure that all relevant attributes and metrics are developed in a format and frequency suitable to meeting business requirements and objectives.
Key Responsibilities:
The role is about taking the full lead and ownership on the "Back-End" engineering activities for a specific SCI functional vertical pillar. This involves being: - SCM functional data, process and systems knowledge - Ensure close connection with the markets and/or Global functions to secure a clear understanding of the current setup and practices. - Interact with the BPM's 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. - Back-End data engineering and product ownership - Lead a team of external data engineers/IT developers, define the "data engineering" tasks and monitor ETL's on regular basis. - Be a solution architect to implement the efficient data models & data pipe...
The Supply Chain Intelligence (SCI) team drives excellence in reporting & analytics capabilities to increase transparency and visibility across the entire Supply Chain organization. In addition, the team provides insights and scenario-based simulations to drive improvements.
The role ensures that the Global SCM business has visibility to key data points and performance drivers to ensure relevant decisions are made with the best understanding of business objectives, performance and KPI impacts. The role will also ensure that all relevant attributes and metrics are developed and reported in a format and frequency suitable to meeting business requirements and objectives with the following key deliverables: - Create data transparency on key performance drivers in most automated way. - Contribute to create a unified version of the truth enhancing collaboration across functions. - Ensure that all relevant attributes and metrics are developed in a format and frequency suitable to meeting business requirements and objectives.
Key Responsibilities:
The role is about taking the full lead and ownership on the "Back-End" engineering activities for a specific SCI functional vertical pillar. This involves being: - SCM functional data, process and systems knowledge - Ensure close connection with the markets and/or Global functions to secure a clear understanding of the current setup and practices. - Interact with the BPM's 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. - Back-End data engineering and product ownership - Lead a team of external data engineers/IT developers, define the "data engineering" tasks and monitor ETL's on regular basis. - Be a solution architect to implement the efficient data models & data pipe...