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.