GCFC Digital Process Engineer

Procter & Gamble

Morris (IL)

On-site

USD 85,000 - 122,000

Full time

11 hours ago
Be an early applicant
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

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

Job Description

The Digital Process Engineer will be responsible for optimizing manufacturing processes, improving efficiency, and ensuring product quality through digital innovation. As a Process Engineer you will learn the required technical warehousing skills, onboard to IWS, develop general leadership skills, leverage digital analytics, and develop AI-enabled tools to accelerate problem solving, automate repetitive analysis, and improve operational decision-making.

Job Location

GRTR CHICAGO FULFILLMENT CTR

Job Description

The Digital Process Engineer will be responsible for optimizing manufacturing processes, improving efficiency, and ensuring product quality through digital innovation. As a Process Engineer you will learn the required technical warehousing skills, onboard to IWS, develop general leadership skills, leverage digital analytics, and develop AI-enabled tools to accelerate problem solving, automate repetitive analysis, and improve operational decision-making.

Job 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, including IQ, OQ, and PQ, to ensure compliance with industry standards and internal procedures.
  • Monitor process performance using statistical process control (SPC) and other analytical tools, troubleshoot deviations, and implement corrective actions.
  • Collaborate with cross-functional teams including R&D, production, quality assurance, and maintenance to support new product introductions and continuous improvement initiatives.
  • Prepare detailed technical reports, process documentation, standard operating procedures (SOPs), and training materials.
  • Evaluate and recommend new equipment, technologies, and materials to improve process capabilities and product performance.
  • Apply AI-enabled tools and methods, including generative AI, predictive analytics, machine learning concepts, and automation workflows, to identify process improvement opportunities, streamline data analysis, reduce manual effort, and support faster, data-driven decision-making.
  • Transform complex datasets from diverse sources into actionable insights to inform strategic decision-making and improve operational performance.
  • Develop and maintain automated performance scorecards and dashboards for real-time visibility into key operational metrics.
  • Prepare data models and features, perform feature quality checks, and build/maintain ETL/ELT pipelines that reliably feed AI products and operational reporting.
  • Collaborate closely with operational teams to define solution requirements, ensure successful AI/ML adoption, and drive integration.
  • Conduct in-depth data analysis of automation systems, such as picking operations, to identify bottlenecks, improve throughput, and enhance accuracy.
  • Ensure all processes comply with safety regulations, environmental standards, and quality management systems.
  • Lead and participate in root cause analysis for process failures and implement preventive measures.
Required
Job Qualifications
  • A degree in Engineering or a related field is required.
  • Prior experience in warehouse operations or process engineering is preferred.
  • Strong analytical skills to identify process inefficiencies and propose solutions.
  • Foundational AI literacy, including the ability to use AI tools responsibly, interpret AI-generated insights, work with structured data, and partner with technical teams to apply AI solutions in warehouse operations.
  • Excellent communication skills to effectively collaborate with team members and other stakeholders.
  • A growth mindset with a desire to learn and grow within the role.

At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.

Procter & Gamble participates in e-verify as required by law.

Qualified individuals will not be disadvantaged based on being unemployed.

Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000158566

Job Segmentation

Experienced Professionals

Starting Pay / Salary Range

$85,000.00 - $122,000.00 / year

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

GCFC Digital Process Engineer
GCFC Digital Process Engineer

Procter & Gamble • United States

On-site
USD 85,000 - 120,000
GCFC Digital Process Engineer
GCFC Digital Process Engineer

Procter & Gamble • Chicago (IL)

On-site
USD 85,000 - 1,222,000
Digital Process Engineer
Digital Process Engineer

Procter & Gamble • Mehoopany Township (PA)

On-site
USD 85,000 - 122,000
Digital Process Engineer
Digital Process Engineer

Procter & Gamble • Shippensburg

On-site
USD 85,000 - 123,000
Process Engineer
Process Engineer

Procter & Gamble • United States

On-site
USD 85,000 - 122,000
Process Engineer
Process Engineer

Procter & Gamble • Shippensburg

On-site
USD 85,000 - 123,000
AI-Driven Digital Process Engineer - Warehouse Optimization
AI-Driven Digital Process Engineer - Warehouse Optimization

Procter & Gamble • United States

On-site
USD 85,000 - 120,000
Engineering Manager
Engineering Manager

Procter & Gamble • Kansas City (KS)

On-site
USD 85,000 - 122,000
Significant Ownership
Site Digital IT Manager (2027 Grads)
Site Digital IT Manager (2027 Grads)

Procter & Gamble • Boston (MA)

On-site
USD 85,000 - 122,000
Site Digital IT Manager (2027 Grads)
Site Digital IT Manager (2027 Grads)

Procter & Gamble • Browns Summit (NC)

On-site
USD 85,000 - 122,000