2nd Shift-General Production Manager-Pine Bluff, AR

Tyson Foods•Pine Bluff, AR

1d•Onsite

About The Position

The General Production Manager is responsible for all production operations at the facility, including production supervisors’ departments, production schedules, product rotation, CCP verification schedules, and oversight of the safety committee. The manager reviews team members in these roles and develops them to address deficient areas. Some travel is required as needed. This is a second-shift position in Pine Bluff, Arkansas, and relocation assistance is eligible.

Requirements

High school diploma or equivalent.
At least 3 years of experience in a manufacturing supervisory role or at least 2 years of Tyson supervisory experience.
Basic computer skills.
Good written and verbal communication skills, including the ability to communicate with all levels of management.
Team leadership, problem-solving, and motivation to take on special projects.
Ability to access all areas of the production floor for audits and inspections using fixed ladders, stairs, steps, and similar access routes.
Ability to tolerate environmental conditions in the area of responsibility, where temperatures in most areas range from 28° to 45° Fahrenheit.
Willingness and ability to perform the physical requirements of the job, with or without reasonable accommodation.
People leaders should be able to drive responsible AI adoption and ensure accountability for AI-supported outcomes.

Nice To Haves

Familiarity with processing-floor operations.
HACCP certification and a basic understanding of HACCP principles, including the ability to perform CCP monitoring verification.
Knowledge of fresh-meat processing.

Responsibilities

Manage all production operations at the facility.
Manage production supervisors’ departments, production schedules, product rotation, and CCP verification schedules.
Oversee the safety committee.
Review team members in these roles and develop and improve deficient areas.
Conduct production-floor audits and inspections.
Travel as needed.
Demonstrate responsible use of approved AI tools, safeguard sensitive information, follow company policies, and validate AI-generated outputs.
Drive responsible AI adoption, enable effective use of approved solutions, identify opportunities to improve team performance through AI, and ensure accountability for the quality and accuracy of AI-supported outcomes.