Operational Training & Process Specialist - Princeton, NJ

dsm-firmenich•Princeton, NJ

6d•$40 - $50•Onsite

About The Position

The Operational Process Specialist plays a central role in strengthening training governance and operational standards across the manufacturing floor. You’ll support Production, Quality, and HS&E teams by maintaining training systems, documentation, and compliance routines that keep operations running smoothly. This role also contributes to continuous improvement by analyzing performance data and helping to eliminate losses. It’s a great fit for someone who enjoys building capability, improving processes, and supporting frontline teams.

Requirements

Bachelor’s degree in Engineering, Operations, Industrial Management, Business, or a related field
Strong Microsoft Office skills
Experience using documentation and operational systems
2–5 years in manufacturing, operations support, training coordination, documentation control, or continuous improvement
Proven cross‑functional collaboration
Background in root‑cause analysis, audit preparation, compliance support, KPI reporting, and operational performance tracking
Intermediate to advanced English

Nice To Haves

Lean Six Sigma Green Belt
SAP familiarity
Manufacturing exposure
Continuous improvement knowledge
Experience with training or compliance systems
Leadership potential
Analytical thinking
Training facilitation
Continuous improvement mindset
Strong presentation/reporting capabilities

Responsibilities

Maintain SOPs, work instructions, training documents, employee qualification records, and the Skills Matrix while coordinating onboarding, cross‑training, and annual/refresher training plans.
Track and support Quality, Safety, HS&E, and Life Saving Rules training requirements, ensuring audit‑ready documentation and accurate compliance dashboards.
Manage training systems, schedule sessions with managers/SMEs, and uphold training KPIs and governance routines.
Assist production teams with process issues, root‑cause analysis, and investigations into deviations, nonconformities, and operational losses.
Analyze downtime, delays, training gaps, and productivity data to identify improvement opportunities and support loss‑elimination efforts.
Contribute to efficiency, waste‑reduction, standardization, visual management, and new product/project implementation while collaborating across Production, Quality, Planning, Maintenance, and HS&E.