Extrusion SME

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.

This position is in our specialized portfolio enterprise where we serve diverse businesses who support unique customers or markets, including animal nutrition and health, bioindustrial, road safety salt and Cargill joint ventures.

Job Purpose and Impact

The Extrusion SME will oversee technical support for the extrusion area in the plant. In this role, you will lead a production team that optimizes the performance of existing extrusion assets by working with plant teams and effectively collaborating with manufacturing excellence team members and other functions including maintenance.

Key Accountabilities

• Supervise monitoring and reporting of the technical performance of (Extrusion) assets and identification of gaps and practical improvement solutions.
• Ensure ongoing implementation of improvement projects, plans, technics, tools and quality standards across sites.
• Lead a team in charge of delivering manufacturing technology expertise to plants, working with local teams, other subject matter experts, and technical support to identify and resolve root causes to emerging issues.
• Oversee a team in charge of risk management of specific manufacturing technologies, understanding safety, process safety, food safety, regulatory and environmental standards, policies and codes.
• Act as a resource for plants on current safety standards, and enhance the future safety of our facilities.
• Lead and develop a team, coach and make decisions related to talent management, hiring, performance, and disciplinary actions.
• Other duties as assigned

• Bachelor's degree in chemical, mechanical or industrial engineering or equivalent experience,
• Minimum of four years of related work experience
• Other minimum qualifications may apply

• Six Sigma Certification
• Trained in statistically supported decision making or data analytics along with knowledge of advanced statistical software tools
• Two years of supervisory experience