Entegris Inc.

Entegris Inc.

Lead, Manufacturing Operations Technology

Scarborough, Ontario, Canada

Sponsorship not specifiedDetected 4 days ago
Data AnalysisSAPProcess ImprovementERPRecruitingCustomer SupportLeadershipCommunicationMicrosoft OfficeSCADA

About the role

  • This role focuses on process safety, optimization, troubleshooting, data analysis, and continuous improvement initiatives to enhance yield, quality, and throughput while maintaining strict adherence to environmental, health, and safety (EHS) standards.
  • Success in this role is demonstrated by the consistent, stable performance of plant operations.

Responsibilities

  • Technically l eads, coaches, and develops Production Supervisors and Team Leads across all shifts to ensure consistent technical capability, sound decision ‑ making, and safety.
  • Collaborates cross ‑ functionally within manufacturing to address and resolve production issues.
  • Champions process safety and contribute to ensure compliance with regulatory requirements, support PSM and safety programs
  • Own Technical Performance of Operations, act as the primary technical resource for all production areas across shifts, ensure processes are operated within defined parameters, procedures, safety limits
  • Maintain and improve SOPs, batch records, and operating standards as well as support management of change (MOC) and ensure technical risks are understood and mitigated
  • Maintains a strong presence on the production floor through regular off ‑ shift engagement, including early mornings, nights, and weekends, to verify standards and reinforce a strong safety culture.
  • Responsible for Production Troubleshooting, providing real-time technical support to operations, conducting root cause analyses (RCAs), implementing CAPAs and collaborating with maintenance and engineering teams.
  • Optimizes production ‑ related cost performance for the operating area, including labor efficiency, overtime, yield, scrap, rework, and downtime. Prepares reports and presents findings.
  • Analyze key performance indicators (KPIs) and implement continuous process improvements.
  • The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.

Requirements

  • Lean Sigma Champion training or certification required (must be completed if not already certified).

Nice to have

  • advanced degree preferred.
  • Minimum of 10 years of experience in a manufacturing environment, with at least 4 years of experience leading technical operations in a chemical manufacturing facility.
  • Knowledge of reactors, distillation, and process systems.
  • Familiarity with DCS/SCADA systems.
  • Understanding of Lean/Six Sigma principles.
  • Strong interpersonal, communication, and problem ‑ solving skills.
  • Experience fostering innovation, continuous improvement, and operational excellence.
  • Ability to make timely, data ‑ driven decisions in a fast ‑ paced setting.

Compensation

  • XXXXX range with actual pay based on candidate experience
  • Please note, this role is for an existing vacancy with an expected compensation range of $XXXXX CAD.

Benefits

  • Our total rewards package goes above and beyond just a paycheck.
  • Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
  • Excellent health, dental and vision insurance packages to fit your needs
  • Vacation policy that empowers you to take the time you need to recharge
  • Education assistance to support your learning journey

Company info

  • At Entegris, we invest in providing opportunity to our employees and promote from within.
  • At Entegris we are committed to providing

Equal opportunity

  • At Entegris we are committed to providing equal opportunity to all employees and applicants.
  • equal opportunity to all employees and applicants.

This listing is sourced directly from Entegris Inc.'s careers page and normalized into a canonical job model.