AI and Six Sigma Lead

As an 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 the company’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 company 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 company’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.