Manager Technical Services

Tyson Foods•Claremont, NC

About The Position

This role provides leadership and technical direction for Research and Development Technical Services at assigned manufacturing facilities and co-manufacturers. The R&D Technical Service Manager serves as the subject matter expert for assigned processes and owns manufacturing instructions. The position leads plant commercialization, process validation, and continuous improvement initiatives while partnering with R&D Scientists, Operations, Engineering, Quality, and external suppliers. It ensures safe, reliable, and cost-effective manufacturing execution while supporting business growth, innovation, and operational excellence. The role supports plant trials, first production, new product introductions, problem resolution, process improvement, capital planning, and the evaluation of new technologies. It also supports data and digital initiatives, audits manufacturing instructions, and travels to facilities as business needs require. Management and supervisory responsibilities may apply depending on assignment.

Requirements

BS, MS, or PhD in Food Science, Meat Science, Food Engineering, or a related field; alternatively, no degree with a minimum of 5 years of relevant experience.
Minimum of 5 years of experience in food manufacturing, R&D, technical services, or process engineering.
Demonstrated experience supporting plant commercialization, process validation, and manufacturing operations.
Experience working with cross-functional teams in a manufacturing environment.
Proficiency in Microsoft Office or equivalent software.
Strong verbal and written communication skills, including the ability to communicate technical information clearly to technical and non-technical audiences.
Effective collaboration and stakeholder engagement capabilities.
Strong analytical and problem-solving skills.
Ability to work independently while influencing cross-functional teams.
Solid understanding of food processing equipment and manufacturing systems.
Willingness to travel to manufacturing facilities as required; travel may exceed 25% based on plant assignment and business needs.
Ability to work in manufacturing environments, lift up to 40 pounds, and be exposed to plant conditions, with or without reasonable accommodation.
Responsible use of approved AI tools, including safeguarding sensitive information, following company policies, and validating AI-generated outputs.

Nice To Haves

Bakery manufacturing experience.
Experience with manufacturing systems, data platforms, and digital tools.

Responsibilities

Serve as the subject matter expert for assigned manufacturing processes and products.
Own and maintain manufacturing instructions, including equipment, process settings, and cook/oven parameters.
Lead and oversee process validation, plant trials, and successful commercialization activities.
Support first production, new product introductions, and ongoing plant execution.
Provide technical support to manufacturing teams for problem resolution and operational challenges.
Lead structured problem-solving for product quality and manufacturing issues using data analysis and plant trials.
Partner with R&D Scientists to ensure manufacturability and process capability during product development.
Execute and support cross-qualifications, specification change qualifications, and line validations.
Support new line start-ups, automation projects, repatriations, co-manufacturing transitions, and new plant start-ups.
Drive process improvements, specification optimization, and cost-reduction initiatives.
Apply food science and process technology principles to improve yield, quality, and consistency.
Support capital planning by advising on equipment selection, design, and resource needs.
Collaborate with engineering teams and external equipment suppliers to evaluate and validate new technologies.
Conduct routine manufacturing instruction audits to ensure accuracy and data integrity.
Utilize NPD, Global Specification Management (GSM), and DevEx proficiently.
Support data and digital initiatives, including manufacturing instruction design and cleansing for enterprise platforms.
Travel as needed to support assigned and unassigned facilities based on business priorities.
Lead or support special projects and other duties as assigned.
Use approved AI tools responsibly, protect sensitive information, follow company policies, critically evaluate outputs, and exercise professional judgment. People Leaders are expected to drive responsible AI adoption and ensure accountability for AI-supported outcomes.