Job Description
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. 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. Other duties may be assigned. Lead projects using a combined Six Sigma method + AI playbook tightly aligned to plant and corporate priorities; deliver sustained, auditable value. Collaborate across Operations, the Operations Center of Excellence, and Corporate Process Excellence to standardize, replicate, and scale proven solutions enterprise-wide. Advance the Autopilot Vision through digital twins, virtual Design of Experiments (DOEs), and multivariate process control, real-time optimization, predictive maintenance, and automated decisioning. Apply statistical methods and machine learning (e.g., time-series, regression/classification, anomaly detection, optimization) to uncover patterns across thousands of variables and augment human decision-making. Use LLMs to accelerate knowledge capture, interfaces to plant and corporate data, and workflow automation. Identify and automate routine/manual/transactional processes to reduce errors and cycle time and free talent for higher-value problem solving. Execute assigned high-impact projects (provide input to charters as needed); manage scope, timeline, and stakeholders; track benefits and sustainment. Complete required training and achieve certification in the unified Six Sigma + AI curriculum; thereafter, when assigned, train and mentor, engineers, analysts, and other plant personnel in the methodology and tools. Promote disciplined experimentation, Statistical Process Control (SPC), and hypothesis-driven problem solving. Learn and apply robust data practices (quality, lineage, security) and Machine Learning Operations (MLOps) (versioning, validation, deployment, monitoring, retraining, rollback) to ensure safe and reliable model use. Maintain documentation and change control consistent with TAMKO standards. Lead change management to overcome adoption barriers; communicate progress and results clearly to all levels. Publish simple, trustworthy metrics, dashboards, and playbooks that enable widespread use. Model TAMKO’s core values with an uncompromising commitment to Honesty and Integrity, Compliance, Safety, Quality, Execution, and Profitability. Ensure all solutions comply with applicable regulations, policies, and cybersecurity requirements. Travel up to 15% to plants and corporate locations for discovery, implementation, training, and replication. 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. Manufacturing 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. Competency To be successful in this role, an individual should demonstrate the following competencies: Analytical: Interpret complex inf