AI and Six Sigma Lead

Responsibilities 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 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 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. #J-18808-Ljbffr