ZSG · 19 hours ago
AI and Six Sigma Lead/Process Engineer
Joplin, MO
Full-time
Onsite
Senior Level
$90K/yr - $130K/yrZSG is seeking an AI and Six Sigma Lead/Process Engineer who will serve as a hands-on leader uniting Six Sigma rigor with advanced AI/ML to drive measurable improvements across manufacturing and corporate functions. The role involves leading high-impact projects, solving complex problems with data, and standardizing best practices across various business units.
EmploymentRecruitingStaffing Agency
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 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
Qualification
Required
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
Company
ZSG
ZSG is an employment agency that provides professional and executive searches to recruit the right candidates.
Founded in 2002
11-50 employees
Funding
Current Stage
Early StageLeadership Team
John Zambito
President & Founder
Company data provided by crunchbase