Chronos PE & Digital Leader

Job Location

IRAPUATO TEOTIHUACAN DC

Job Description

• Title of the Position: R000159729 – Chronos Process Engineer & Digital Leader - Guanajuato
• Position Type: Managerial
• Location: Irapuato, Guanajuato, Chronos Plant
• Work Hours: Flexible working hours, based on business needs
• Profile: Bachelor’s degree in Process Engineering, Industrial Engineering, Manufacturing Engineering, Automation, Mechatronics, or a related field. Experience in process improvement, manufacturing digitalization, data analytics, and cross-functional leadership is preferred.
• Start Date: As soon as possible

• Accommodations: At P&G, we are committed to ensuring an inclusive recruitment, assessment, and selection process. If you have a disability and require any adjustments or accommodations for our assessments or any stage of the process, you will have the opportunity to briefly describe your needs when applying for the vacancy. Please note, it is important that you do not complete any assessments until we have contacted you to assist with any accommodation required.

• Are you passionate about improving manufacturing processes through Lean methodologies, advanced analytics, and digital technologies? Can you influence diverse teams and turn operational data into sustainable business results? Then this is the perfect job for you.

• Job Overview:
The Chronos Process Engineer & Digital Leader will drive process optimization and manufacturing digitalization initiatives at the Irapuato plant. This role will combine expertise in Lean Manufacturing, Six Sigma, industrial automation, data analytics, and change management to improve line performance, reduce waste, increase Overall Equipment Effectiveness., and accelerate the adoption of Industry 4.0 solutions. The role will work closely with Production, Maintenance, Quality, and Safety teams to deliver sustainable improvements.

• Key Responsibilities:

• Lead process-improvement initiatives using Lean Manufacturing, Six Sigma, Statistical Process Control, and root-cause analysis methodologies.
• Optimize production lines by identifying opportunities to reduce waste, improve equipment effectiveness, stabilize processes, and increase Overall Equipment Effectiveness.
• Lead the implementation and integration of digital manufacturing technologies, including Manufacturing Execution Systems, industrial IoT sensors, and PLC connectivity.
• Extract, model, and visualize operational data using tools such as Power BI, Tableau, SQL, Python, or R to develop dashboards that support predictive and corrective decision-making.
• Coordinate cross-functional teams across Production, Maintenance, IT/OT, Quality, and Safety while managing change and promoting the adoption of new digital tools and ways of working.

• Hard Skills:

• Strong knowledge of Lean Manufacturing, Six Sigma, Statistical Process Control, and root-cause analysis methods, including 5 Whys and Ishikawa diagrams.
• Experience with manufacturing digitalization and Industry 4.0 technologies, such as Manufacturing Execution Systems, industrial IoT and real-time data acquisition.
• Data analysis and business intelligence skills using platforms and tools such as Power BI, Tableau, SQL, Python, or R.
• Knowledge of manufacturing processes, production-line optimization, waste reduction, and OEE improvement.
• Ability to diagnose issues involving process variables, equipment performance, data flows, and software systems.

• Soft Skills:

• Change-management capabilities and the ability to influence operators, technicians, and leaders to adopt new technologies and work practices.
• Cross-functional leadership and the ability to align multidisciplinary teams without relying solely on hierarchical authority.
• Critical thinking and complex problem-solving skills.
• Strong communication, stakeholder-management, and presentation skills.
• Ability to prioritize high-impact, sustainable solutions in a dynamic manufacturing environment.

Job Qualifications

Nice to Have Skills:

• Experience leading digital-transformation or Industry 4.0 projects in a manufacturing environment.
• Familiarity with OT cybersecurity, cloud-based manufacturing platforms, or advanced predictive analytics.

• Important Note for Candidates:
Before submitting your application, we encourage you to review our Hiring Process and Assessment Information. Familiarizing yourself with this content will help you prepare for online assessments and enhance your chances of success.

• What We Offer:

• Responsibilities from Day 1, allowing you to take ownership of your projects
• Continuous mentorship from passionate colleagues and formal training opportunities
• A dynamic and supportive work environment that promotes agility and work/life balance
• Flexibility in arranging your work schedule based on personal needs
• A competitive salary and benefits package

• About Us:
P&G serves consumers worldwide with a strong portfolio of trusted brands, including Always®, Ariel®, Crest®, Gillette®, Pampers®, and Tide®. Our community operates in approximately 70 countries. For more information about us and our brands, please visit www.pg.com.

Job Schedule

Full time

Job Number

R000159729

Job Segmentation

Entry Level