Supervisor Production - B Shift Harvest - Dakota City Plant

Tyson Foods•Dakota City, NE

1d•Onsite

About The Position

This position is responsible for maintaining high production, quality, and yields while ensuring the safest working environment possible. The role requires an essential understanding and control of the production process, accurate record keeping, and general line maintenance and staffing. The supervisor oversees production and processing operations, supports Team Members, and works with other supervisors to solve problems. The role is based at the Dakota City Plant and works B Shift.

Requirements

At least one year of experience in a meat industry environment.
Strong communication skills.
Basic computer skills are helpful.
Must be willing and able to perform the physical requirements of the job, with or without reasonable accommodation.
Applicants must attach a resume with qualifications to be considered.

Nice To Haves

Prior supervisory experience preferred.
High school diploma preferred.
Education beyond high school, including special training, vocational school, and/or college courses, preferred.

Responsibilities

Check daily production orders to ensure customer orders are fulfilled.
Ensure every position is filled before production line start-up.
Oversee Team Member morning exercises and job rotation to facilitate ergonomics.
Ensure machinery performs to the highest standard possible.
Ensure all workstations have passed USDA Inspection.
Promote safety daily and through monthly safety meetings.
Ensure accurate shipments, inventory rotation, and proper product coding.
Know and communicate company benefits and compensation policies to Team Members.
Encourage Team Members and help build an effective team.
Perform human relations functions, including training, retaining, and counseling Team Members on personal and professional problems.
Oversee processing operations and work with other supervisors to solve problems.
Keep records of reworked or returned product.
Provide continuous education on the importance of quality.
Perform other responsibilities as needed.
Demonstrate responsible use of approved AI tools, safeguard sensitive information, follow company policies, validate AI-generated outputs, and support responsible AI adoption and accountability for AI-supported work.