Agropur
Production Supervisor
CAN Ontario Woodstock
Sponsorship not specifiedDetected 12 days ago
SAPProcess ImprovementPerformance ManagementEmployee RelationsGMPLeadershipCommunicationCollaborationProblem SolvingMentoringMicrosoft OfficeHACCPFood SafetyLean Manufacturing
About the role
- Specific focus is on sanitation and quality results (HACCP and SQF), health and safety, good manufacturing practices and productivity.
- Other focus areas are labour relations, employee scheduling/staffing, cost improvements, and customer satisfaction.
Responsibilities
- shift leads the production department to ensure that qualitative and quantitative measures included in the operating plan are met.
- Ensures consistent application of best practices towards product evaluation, food safety and quality to support and maintain Agropur's quality standards.
- Supports the operation of the HACCP team to ensure that the facility and documentation are suitable for third party/customer audits to maintain the SQF/ HACCP status at the plant.
Requirements
- College diploma or university degree in a related field or other relevant training.
- 3-5 years experience supervisory experience in food or pharma industry.
- Knowledge of quality assurance systems (GMP, HACCP and SQF).
- Knowledge of SAP (an asset).
Compensation
- 71 200$ to 89 000$ (Salary will be determined based on skills, education, training & experience related to the position.)
Benefits
- Ensure compliance of health and safety regulations, and the ability to implement programs to improve safety culture.
- Recognition of years of service in calculating vacation time.
- Flexible group insurance plan, including telemedicine service.
- Pension plan including employer contributions.
- Salary range 004: 71 200$ to 89 000$ (Salary will be determined based on skills, education, training & experience related to the position.)
Apply directly at Agropur →Create a free account for alerts like thisView Agropur immigration profile
This listing is sourced directly from Agropur's careers page and normalized into a canonical job model.