- Ensure data integrity across all inputs prior to completing Supply Chain design modelling.
- Interpret model outcomes in order to support and enhance the recommendation process.
- Liaising with functional owners of data (e.g. Brewing, Distribution) to ensure accurate, timely, and evidenced inputs.
- Enhancing the Supply Chain design process through building new tooling capability.
- Driving the bi-annual digital twin process through both 'as-is' and 'to-be' models.
- Maintaining existing manufacturing to warehouse digital twin enabled by state-of-the-art customized Supply Chain software.
- Increasing visibility, consistency and comparability across the end-to-end regional Supply Chain through the use of advanced big data visualisation software.
- Contributing to business recommendations based on outcomes from the Supply Chain design model.
- Degree qualifications in Supply Chain, Engineering, Information Technology or Compute Science.
- A demonstrated understanding or passion for Supply Chain.
- Advanced scenario modelling expertise with similar experience in a manufacturing environment.
- Deep understanding of strategic digital twins and use cases across the world in multiple industries.
- Sound understanding of logistics operations and varying logistics models.
- Strong commercial acumen and ability to make sound business recommendations.
- Excellent communication skill with the ability to translate complex data into meaningful insights.
Applications close: 06 Jun 2024 AUS Eastern Standard Time