About

I help organizations turn fragmented data into clear, production-ready analytics systems that improve business and operational decisions.

Jason T. Cole profile image

Applied AI & Systems Leader, ML Engineer & Manufacturing Analytics Lead

Over 20+ years, I’ve bridged R&D, manufacturing, and enterprise analytics—translating complex plant and business signals into measurable improvements.

  • Location: Worcester, MA
  • Email: jtcole@gmail.com
  • Phone: (508) 207-8993
  • LinkedIn: linkedin.com/in/jason-tyler-cole
  • Experience: 20+ Years
  • Domain: Manufacturing, Materials, Life Sciences
  • Education: Professional M.S. Industrial Mathematics coursework track (WPI, extensive graduate credits completed); B.S. Ceramic Engineering (Alfred University)
  • Credential: Lean Six Sigma Master Black Belt
  • Work Style: Open to onsite, hybrid, and fully remote work; full-time preferred and contract welcomed.
  • Authorization: Natural-born U.S. citizen (no sponsorship required).

I build data products, ML workflows, and AI-enabled decision tools that teams actually adopt. My work includes enterprise analytics APIs, quality intelligence programs, AI pipelines, retrieval systems, and RAG assistants—delivered with practical governance, change management, and clear business accountability across 30+ global plants and teams.

Through Oct 2025, I led enterprise delivery across CertainTeed / Saint-Gobain environments. Since then, I’ve been full-time on agentic workflows and programming systems: building practical multi-agent automations, orchestration patterns, and production-ready tooling.

I also spend significant time helping people use statistics effectively in day-to-day operations, especially with JMP. As an invited industry expert, I contributed to writing the STIPS certification exam. I’ve built and productionized language-model systems for about seven years (including early Transformer-era work), with a strong focus on agentic AI over the last two years.

Hiring manager quick path: Review the one-page hiring summary for role fit, outcomes, and direct contact options.

How I Create Value

The through-line across my career: improve decisions, accelerate execution, and produce measurable outcomes.

Analytics Strategy → Delivery

Define the right problem, design a practical architecture, and ship solutions that survive real operational constraints.

AI + Process Depth

Blend machine learning expertise with process engineering context so models map to physical and business reality.

Leadership + Enablement

Mentor teams, align stakeholders, and establish adoption playbooks that turn pilots into sustained capability.

Impact Snapshot

A concise view of delivery scope and results.

Years Bridging Engineering + Data Science

Percent Defect Reduction on Major Programs

Global Plants / Teams Supported

Patents & Major Awards