Supply Chain Process Optimization Specialist

10 ago - Calderara di Reno
Bonfiglioli Riduttori

ABOUT US
Bonfiglioli is a worldwide designer, manufacturer and distributor of a complete range of gearmotors, drive systems, planetary gearboxes and inverters, which satisfy the most challenging and demanding needs in industrial automation, mobile machinery and renewable energy.
Established in 1956, Bonfiglioli operates worldwide in 20 countries and 18 production facilities, with a wide network comprising 550 distributors and over 5.000 employees.
Excellence, innovation and sustainability are the drivers behind our growth as a company and team.
We are looking for a Supply Chain Process Optimization Specialist to join our Team based in Calderara di Reno (BO).MISSION
Ensures the management, optimization, and continuous improvement of Supply Chain processes, guaranteeing alignment with best practices in planning, performance management, risk mitigation, and the implementation of continuous improvement initiatives. Supports all functions involved in Supply Chain processes to ensure accurate data, consistent parameters, and a data-driven approach to operational decision-making.




MAIN RESPONSABILITIES
Performance & Risk Management

Defines, monitors, and regularly updates Supply Chain KPIs to measure operational efficiency across the entire flow.
Collects and analyzes performance data related to service levels, inventory, supplier punctuality, and lead times.
Identifies operational risks related to demand, supply, and internal processes, maps potential risks, and proposes mitigation plans.
Collaborates with the functions involved to update the risk map and define corrective and preventive actions.
Coordinates and supports internal and external audits of SC processes, prepares supporting documentation, and manages non-conformities.
Prepares and periodically communicates performance reports to the relevant functions (e.g., Planning, Procurement, Operations, Finance).

Operational Parameters Maintenance

Manages the configuration of key operational parameters (e.g., lead time

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