Operational Excellence Lead — Data-Driven Process Optimization

Rhenus SE & Co.; Segrate; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Rhenus SE & Co. is seeking an Operational Excellence Manager to drive process optimization, improve efficiency, and standardize ways of working across Italy.

The role focuses on governance, continuous improvement and data quality enhancement with regional alignment. The position is flexible across several Italian locations including Milan, Padua, Trieste, Verona and Udine, and involves coordinating with country teams to implement new systems and initiatives while maintaining high data quality

Qualifications

• Completed business, IT or engineering degree.
• Strong analytical skills and structured thinking.
• Ability to align with stakeholders at all levels.

Responsibilities

• Establish roles and responsibilities for operations teams with escalation matrices and KPIs.
• Analyse business and operational gaps before IT system roll-outs; ensure seamless system-operations integration.
• Improve data quality at country level and communicate issues to operations staff.
• Conduct operational audits and root-cause analyses to resolve issues and drive improvements.
• Coordinate training content for country-specific roll-outs and act as liaison with regional teams.
• Provide input on creating an operational KPI framework tied to efficiency and customer satisfaction.

Skills

Operational Excellence

Data analysis

Process governance

KPIs

Stakeholder management

Project management

Education

Business/IT/Engineering degree

Tools

Data quality frameworks

Job description

Rhenus SE & Co. is seeking an Operational Excellence Manager to drive process optimization, improve efficiency, and standardize ways of working across Italy.

The role focuses on governance, continuous improvement and data quality enhancement with regional alignment. The position is flexible across several Italian locations including Milan, Padua, Trieste, Verona and Udine, and involves coordinating with country teams to implement new systems and initiatives while maintaining high data quality