AI-Driven Warehouse Process Engineer

Procter & Gamble; Morris (IL); On-site; USD 85,000 - 122,000; Full time

Job summary

Procter & Gamble is seeking a Digital Process Engineer to optimize manufacturing processes, improve efficiency, and ensure product quality through digital innovation. You will learn warehousing skills, onboard to IWS, leverage analytics, and develop AI-enabled tools to accelerate problem-solving and data-driven decision-making.

The role involves designing and validating new digital warehousing processes, collaborating with R&D, production, QA, and maintenance, and developing automated dashboards

Qualifications

• Bachelor’s or higher in engineering or related field.
• Experience in warehouse operations or process engineering preferred.
• Strong analytical abilities and problem-solving skills.
• Foundational AI literacy and ability to work with AI-generated insights.

Responsibilities

• Design, develop, and implement new digital warehousing processes and optimize existing ones to enhance productivity, reduce costs, and improve product quality.
• Conduct process analysis, identify bottlenecks for warehouse flow, and propose solutions to improve operational efficiency and throughput.
• Develop and execute process validation protocols (IQ/OQ/PQ) to ensure compliance with industry standards.
• Monitor process performance using SPC and other analytical tools; troubleshoot deviations and implement corrective actions.
• Collaborate with R&D, production, QA, and maintenance to support new product introductions and continuous improvement.

Skills

Analytical skills

Strong AI literacy

Communication

Growth mindset

Process engineering

Warehouse operations

Education

Engineering degree

Job description

Procter & Gamble is seeking a Digital Process Engineer to optimize manufacturing processes, improve efficiency, and ensure product quality through digital innovation. You will learn warehousing skills, onboard to IWS, leverage analytics, and develop AI-enabled tools to accelerate problem-solving and data-driven decision-making.

The role involves designing and validating new digital warehousing processes, collaborating with R&D, production, QA, and maintenance, and developing automated dashboards