Skip to content

Assistant Quality Manager
Company | Ardent Mills |
---|
Location | Ogden, UT, USA |
---|
Salary | $74600 – $99444.4 |
---|
Type | Full-Time |
---|
Degrees | Bachelor’s |
---|
Experience Level | Junior, Mid Level |
---|
Requirements
- Bachelor’s degree with 1½-3 years or High School diploma/GED with 5½-7 years of Quality Systems and Food Safety experience in flour milling or related manufacturing industry
- Knowledge of the following programs: Food Safety Plan, Integrated Pest Management, Good Manufacturing Practices, Food Microbiology and Chemistry, FDA and USDA Regulatory requirements
- Demonstrated ability to interact with customers and help solve problems
- PCQI and HACCP certification
Responsibilities
- Analyze, interpret, and implement Quality/Food Safety policies and customer standards
- Manage the wheat pipeline to ensure wheat shipped to the mill meets customer needs, optimizes mill performance, and is in alignment with regulatory standards
- Maintain customer audit programs and agreed 3rd party certification
- Manage customer documentation, specifications, and ensure active customer support
- Build relationships with local customers to uncover opportunities that lead to value creation and strengthen ties between our companies
- Ownership within Integrated Pest Management
- Maintain compliance with company policies, regulatory requirements, quality specifications, safety standards, and sanitation practices
Preferred Qualifications
- 2 years of management experience
- Knowledge of Grain Market
- Experience working effectively with customers, including solving customer problems
- Demonstrated knowledge of manufacturing processes and operations; ability to deliver aligned and effective processes
- Experience teaching and training others on food safety
- Knowledge of GFSI Audit Standards
- Experience with project management, including applying structured approach to planning, administering and completing projects successfully
- Demonstrated understanding of Statistical Process Control and ability to complete elementary statistical analysis