AI & Six Sigma Lead - Multiple Locations Available

Summary Of Essential Job Functions

To perform this job successfully an individual must be able to perform each essential function satisfactorily. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions.

Minimum Requirements

• Bachelor’s degree in Engineering, Computer/Data Science, Mathematics, or related STEM field; or equivalent combination of education and experience totaling 4–10 years of relevant experience in manufacturing/process improvement, data/analytics, or automation.
• A strong interest in applying AI to real-world problems.
• Capable of learning new technical systems and using operational data.
• Mechanical exposure is a plus, not a requirement.
• An understanding of the basics of building, deploying, and maintaining analytics/models and an eagerness to learn MLOps.
• Excellent communication skills; ability to translate technical insights for non-technical audiences and create clear reports, dashboards, and training materials.
• Proven ability to lead cross-functional teams and deliver results through influence and change leadership.

Competencies

• Analytical: Interpret complex information; designs effective experiments and analyses.
• Technical Depth: Builds knowledge in AI/ML, statistics, data engineering, and industrial processes.
• Problem Solving: Uses data and structured thinking to develop and evaluate alternatives.
• Project Management: Plans work, coordinates resources, manages risks, and delivers results.
• Change Leadership: Drives adoption across plants and corporate; removes barriers to scale.
• Communication: Presents clearly; tailors messages for both technical and business audiences.
• Quality Management: Promotes accuracy, repeatability, and sustainment; avoids “AI for AI’s sake.”
• Business Acumen: Aligns initiatives with strategy and value creation; measures impact.

Physical Requirements/Work Environment

• While performing the duties of this job, the employee must be able to position himself/herself to operate, inspect, troubleshoot, repair, and/or maintain heavy plant equipment.
• This may require climbing stairs/ladders, bending, kneeling, crawling, squatting and/or stooping.
• The employee must frequently lift and/or move up to 10 pounds, occasionally lift and/or move up to 50 pounds, and may occasionally lift or move heavier objects with assistance.
• While performing the duties of this job, the employee may work around moving mechanical parts, at elevated heights, where dusts and fumes could be present in the air, with or in proximity to chemicals, in hot environments, around electrical equipment, and in a loud environment.
• The employee must have the ability to understand and mitigate these and other risks, including by following all prescribed safety rules, and must have the ability to wear appropriate personal protective equipment, if necessary.

Benefits

• Group Health and Life Insurance
• Vision and Dental Insurance
• A Flexible Benefits Plan
• A 401(k) Retirement Plan with company match
• A Profit Sharing Retirement Plan

About the Role

TAMKO is expanding its Business Process Transformation (BPT) organization with an Artificial Intelligence (AI) Center of Excellence to accelerate our Autopilot vision—continuous analysis and machine self-adjustment across interconnected processes. As a AI and Six Sigma Lead, you will serve as a hands-on leader who sets direction and drives outcomes: uniting Six Sigma rigor with advanced AI/ML, digital twins, analytics, and automation to deliver measurable improvements in safety, quality, throughput, cost, and reliability across manufacturing and corporate functions. This role is both executor and change leader. You will own high-impact projects end-to-end, solve complex problems with data and disciplined experimentation, and lead cross-functional teams charged with the task(s) of building and deploying successful production models in TAMKO’s business and manufacturing processes. You will standardize and replicate best practices across plants and business units, developing systems that scale. This role continues Six Sigma’s leadership pipeline and enables enterprise-wide AI adoption.