Manager, Manufacturing Engineering (Digital Tools and SPC)
L3HARRIS Technologies
Camden, AR · Posted September 28, 2026
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About the job
Job Title: Manager, Manufacturing Engineering
Job Code: 44824
Job Location: Camden, AR
Job Schedule: 4/10: Employees work 10 hours a day, 4 days a week.
Job Description:
L3Harris is seeking a Manager, Manufacturing Engineering, to oversee our Manufacturing Engineering team in Camden, AR. This role will be responsible for making moderate enhancements or improvements to systems and processes to solve problems or improve effectiveness of job area. Opportunities for problem-solving and innovation are general and may require understanding of a broader set of issues but typically are not complex. Problems may require understanding of other job areas. Problems are typically solved by drawing from prior experiences, with analysis of the issues.
Essential Functions:
Experienced professional with proficient knowledge of job area and practical knowledge of project management.
Communicate with contacts inside and outside of own department to explain and interpret operational processes, practices, and procedures.
Recommends enhancements to systems and processes.
Works to achieve operational targets for specific programs and projects with moderate impact on departmental results.
May be responsible for entire projects or processes within job area.
May be responsible for providing guidance, coaching, and training to other employees within job area.
May manage projects at this level with responsibility for the delegation of work and the review of others' work product.
Hands-on experience with MS Office 365 is required.
Experience with technical project and digital solutions leadership.
Knowledge of data analytics and business intelligence.
Experience with digital automation and systems integration.
Qualifications:
Bachelor’s Degree and minimum 9 years prior related experience. Graduate Degree with a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
Preferred Qualifications:
Microsoft Power Platform (Power BI, Power Apps, etc)
Statistical Process Control (SPC)
AI/ML (Artificial Intelligence/Machine Learning)
Python/SQL/Snowflake