Digital Process Engineer: AI-Driven Factory Optimizer

Unilever; Raeford (NC); On-site; USD 71,000 - 107,000; Full time

Benefits offered by this job

Health insurance

Retirement savings benefits

Life insurance and disability benefits

Parental leave

Sick leave

Paid vacation and holidays

Access to voluntary benefits

Job summary

Unilever Raeford, NC is seeking a Process Engineer to drive focused improvement across safety, quality and efficiency. You will apply FI methods, connect with pillar teams, and move manual processes toward digital workflows using DFOS, MES and related tools.

You’ll lead data analysis, root-cause investigations, and standardization to eliminate losses and increase line stability, while coaching crews and ensuring governance through KPI tracking and training plans.

Qualifications

• 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

• Lead and improve your team's performance across lines.
• Leverage systems thinking to ensure factory lines are optimally resourced.
• Collect and analyze data to identify root causes.
• Establish standards to sustain new basic conditions.
• Lead UMS pillar deployment with governance, training, and KPI tracking.
• Assess digitalization and build dashboards to improve data quality and insights.

Skills

Statistics

Process control

Root cause analysis

5W1H

Tools

AM tools

PM tools

Quality tools

FI tools

Job description

Unilever Raeford, NC is seeking a Process Engineer to drive focused improvement across safety, quality and efficiency. You will apply FI methods, connect with pillar teams, and move manual processes toward digital workflows using DFOS, MES and related tools.

You’ll lead data analysis, root-cause investigations, and standardization to eliminate losses and increase line stability, while coaching crews and ensuring governance through KPI tracking and training plans.