01 / Current role
AI & Six Sigma Lead — Corporate
Scaling AI-driven process optimization across nine plants. Real-time analytics, predictive maintenance, AI-tuned process control, automated reporting.
The role
Corporate AI & Six Sigma Lead at a national building-products manufacturer — a 24/7 continuous-process operation running nine plants. The charter is to take what worked at one plant and make it work everywhere, each site with its own equipment, processes, and people.
What’s actually hard
Manufacturing AI fails when it’s bolted on. It works when it’s embedded — when operators on the floor see the model as a teammate they can rely on, not a black box. My job is the integration layer: the human-AI hand-off, the training, the trust. The tooling is the easy part. The change management is the work.
Pattern
Each plant gets the same playbook in a different order: instrument the process, give the model the right signal, then engineer the human workflow around what the model can reliably do. Real-time analytics. AI-tuned process control. SCADA-driven digital-twin monitoring. AI-assisted shift hand-offs. Each one is a small change; together they shift how the floor operates.
Why it scales
The playbook came from one operation first. Two promotions in roughly three years was the company asking me to take it everywhere. The impact is real — material cost savings, meaningful downtime reductions, finance-verified results — and in a private conversation I can walk through the before/after pattern, the control-loop changes, and the adoption work that made the numbers hold.