Operational Excellence Specialist (AI)

TL;DR

Operational Excellence Specialist (AI): Designing and managing end-to-end performance management systems for a manufacturing client with an accent on KPI integrity and operational efficiency. Focus on automating workflows using AI and low-code tools to transition the organization toward scalable, data-driven processes.

Location: Must be based in Toronto, ON, Canada

Salary: $77,000 – $82,000

Company

Recruitment for a GTA-based manufacturing client focused on operational transformation and AI integration.

What you will do

• Own the integrity and governance of operational KPIs across Operations and Commercial functions.
• Translate operational needs into technical BI specifications and validate reporting logic.
• Analyze inventory performance across raw materials, WIP, and finished goods to drive corrective actions.
• Redesign end-to-end manufacturing and supply chain processes to remove bottlenecks and improve productivity.
• Design and implement AI-enabled workflows and agent-based solutions using Microsoft Power Platform and Copilot Studio.

Requirements

• Bachelor's degree in Business, Engineering, Supply Chain, or Computer Science.
• Several years of experience in operational excellence or supply chain analytics within manufacturing.
• Proficiency in advanced Excel and BI tools such as Power BI, Qlik, or Tableau.
• Hands-on exposure to AI, automation, or low-code platforms (Power Automate, Power Apps, Python).
• Location: Must be based in Toronto, ON, Canada.

Nice to have

• Lean or Six Sigma certification.
• Experience with ERP/MRP/MES platforms.
• Project management methodology certifications.

Culture & Benefits

• Opportunity to lead business transformation and redefine operational ways of working.
• Work at the intersection of industrial operations and cutting-edge AI technology.
• Direct impact on organizational productivity and decision-making processes.
• Collaborative environment engaging everyone from shop floor teams to executive leadership.

Hiring process

• Virtual interview with a Talent Advisor (recorded via BrightHire).
• Virtual interview with the Hiring Manager to align experience with team needs.
• Final in-person interview panel with the Hiring Manager, Ops Excellence Manager, and SMEs.