About the Company

Established over 180 years ago as a modest soap and candle enterprise, Procter & Gamble (P&G) has evolved into the world’s foremost consumer goods corporation, recognized for its portfolio of iconic and dependable brands that meaningfully improve daily life. Our enduring success across three centuries is rooted in the core principles of leadership, innovation, and responsible citizenship. The dedication, ingenuity, and enthusiasm of our talented teams have propelled our growth into a globally respected organization characterized by ethical governance, transparency, and a commitment to both charitable endeavors and environmental stewardship. P&G offers a fulfilling workplace where employees can take pride in their contributions and make a tangible impact.

Job Description

This position offers an exceptional opportunity to contribute to transformative upstream enhancements in the manufacturing and processing of our leading products, leveraging intelligent and interconnected technologies that are driving the Fourth Industrial Revolution. Our objective is to unlock your potential and enable you to enhance the capability, safety, and efficiency of our systems, while simultaneously reducing costs and promoting sustainability.

Responsibilities

• Provide technical leadership and support for organizational unit (OU) innovation projects.
• Serve as a key facilitator in driving and achieving results in the face of challenges.
• Collaborate with the innovation team to explore new platforms, machine control systems, data processing techniques, and analytics methodologies, while fostering capability development in others.
• Develop and execute analytical projects aligned with business requirements, leveraging data science tools to address complex process challenges within the region.
• Innovate new analytical, predictive, and prescriptive modeling methods and tools as needed.
• Propose prescriptive analytic models to establish robust and fault-tolerant process control strategies, thereby minimizing operational effort and enhancing product quality.
• Partner with process and equipment experts, as well as application developers, to identify relevant data for analysis.
• Collaborate with process/equipment owners and IT/OT teams to develop and refine data models that support analytical capabilities, assuming ownership for data model maintenance and development for the designated hub-site.
• Develop and maintain critical data pipelines across selected sites on a global basis.
• Contribute to the definition of work processes for deploying and maintaining predictive and analytical modeling architectures, modeling standards, alarming and reporting systems, and data analysis methodologies.
• Conduct external research to identify analytical modeling products, services, protocols, and standards that can accelerate the smart manufacturing journey.
• Identify, diagnose, and resolve performance issues related to prognostic models.
• Leverage Reliability Engineering principles, augmented by data science, to develop innovative solutions aimed at reducing losses.

Qualifications

• Sufficient business acumen to discern data relevance, interpret findings, and apply data-driven insights to decision-making.
• Proficiency in data preparation and processing techniques.
• Advanced analytical, statistical, and mathematical modeling skills to formulate hypotheses and extract meaningful insights from both structured and unstructured data, effectively transforming raw data into actionable information for improving process and equipment operation and maintenance.
• Proficient utilization of software tools for data visualization, statistical analysis, and machine learning (ML), including Python, R, SAS, Azure ML, Matlab, PowerBI, and Tableau.
• Familiarity with functional programming and scripting languages such as .NET, VB, C++, and Python.
• Understanding of data architecture concepts, encompassing relational database structures, data warehouses, big data management, and data querying techniques.
• Technical comprehension of mechatronic systems and fundamental engineering principles (process, mechanical, electrical, control, and systems engineering).
• Experience in advanced analytics, big data technologies, and machine learning methodologies.
• Experience designing visualizations to enhance user experience and facilitate effective decision-making.
• Innovative Approach – Demonstrated ability to assess business operations, identify opportunities, and develop compelling business cases.
• Experience in data engineering using Azure Data Factory, Databricks, SQL, and Knime.
• Experience in Agile project management (SCRUM, Kanban) and operation in DevOps, CI/CD environments
• IT Security & Risk – Up-to-date knowledge of modern IT security risks and principles.
• Proven ability to manage multiple priorities concurrently, coupled with strong written and verbal communication skills to effectively influence stakeholders and collaborate across functional boundaries.
• Collaborative mindset with clear technical communication skills to explain data models and data analytic solutions to both technical peers and leadership teams.

Skills

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Frequently Asked Questions

Other Information

P&G is an equal opportunity employer committed to diversity. We do not discriminate based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected characteristic.

“At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.

All the available job opportunities are posted either on our website – pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.”

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