Process Engineer

Unilever•Raeford, NC

13d•Onsite

About The Position

The Process Engineer role is critical to developing our factories toward World Class performance: zero defects, zero waste, zero losses, and digitally enabled ways of working. She/he will apply the full range of Focused Improvement methods and tools to counter losses identified across Safety, Quality, Cost Deployment, Customer Service, Logistics, and operational performance. This role will support the FI UMS rollout by helping establish pillar governance, route maps, training approach, KPI/KAI tracking, project delivery, and collaboration with AM, PM, Quality, Safety, BPCD, PD, EEM, ES, and CSA pillars. The Process Engineer will also assess and improve the level of digitalization across pillar processes by moving manual and paper-based activities into integrated digital workflows, using platforms such as DFOS, BuildApp, MES, Cerebra, and project tracking tools where applicable. Working directly with line crews and pillar teams, the Process Engineer acts as a trainer and coach in phenomena identification, root cause analysis, countermeasure development, validation of process improvements, and establishment of revised basic conditions. A core deliverable is eliminating losses and waste, improving production efficiency, increasing line stability, strengthening digital adoption, and unlocking AI-enabled insights to accelerate UMS maturity, decision making, and sustainable performance improvement.

Requirements

Experience in statistics and process control tools.
Ability to connect machine interfaces to digital online tools for analysis.
Experience in AM, PM, Quality and FI tools and processes.
Minimum 3 years of experience in a manufacturing environment (FMCG preferred).
Confident in applying problem solving tools (5W1H, 4M, 5WHY etc.).
Experience deploying or supporting UMS pillar routines, including pillar governance, route maps, KPI/KAI tracking, project execution, training plans, and cross-pillar collaboration.

Responsibilities

Taking responsibility for building your team’s performance and sharing your best interventions to help support other lines in their improvements.
Leverage technical knowledge and a systems approach to ensure factory lines and processes are optimally resourced.
Collect and analyze complex data to penetrate problems’ phenomena and understand root causes.
Apply the continuous improvement mindset and utilize tools to identify root causes, define countermeasures and validate their effectiveness; mastery of AM, PM, Q and FI tools and processes.
Establish standards to support line operators sustain new basic conditions.
Lead and support Focused Improvement pillar deployment by translating the UMS rollout playbook into clear site routines, governance, training, project execution, KPI/KAI follow-up, route map progress, and cross-pillar collaboration.
Assess the level of digitalization across UMS pillar tools and processes, verify evidence against defined scoring criteria, identify gaps, and build practical action plans that improve data quality, workflow automation, dashboard visibility, and compliance with site and global digital route maps.
Convert operational data into actionable insights by applying analytics, automation, and AI-enabled tools to identify hidden losses, predict risks, prioritize improvement opportunities, improve problem solving speed, and support shop-floor teams with better decisions in near real time.