Job Description

Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1.

‍

‍

The Opportunity:

P&G has an opportunity for a Knowledge Manager in our Oral Care business to develop new capabilities enabling our Technical Community.  This role sits within our Digital Innovation subfunction, and would enable you to be at the leading edge of how P&G does our work to bring innovative products to life.  As an Engineer in our R&D department, you will be part of a dynamic team committed to delivering innovative solutions that meet the needs of our consumers. Your role will involve supporting and assisting in executing strategies within the team, focusing on specific tasks or segments within a project, and collaborating effectively within your immediate team.

‍

The ideal candidate will demonstrate a strong eagerness to learn and grow professionally and possess excellent communication skills—both written and verbal. This role is perfect for those with passion for innovation and problem-solving, along with a proactive attitude and the ability to adapt to new challenges.  Join us in this dynamic environment, where your contributions will make a real impact as part of a collaborative team!

‍

‍

Key Responsibilities:

• Work with a wide variety of stakeholders to understand requirements across our Seamless Technical Community (research through Manufacturing).
• Utilize knowledge of Large Language Models (LLMs), knowledge graphs, and other cutting-edge capabilities to build tools to step-change speed and quality of innovation.
• Organize existing data and models, documents, and tacit organizational knowledge into knowledge graphs to be activated via tools.
• Analyze latest innovations and explore opportunities to apply cutting-edge techniques for building high-impact solutions that enhance internal capabilities and deliver exceptional user experiences.

‍

‍

Job Qualifications

‍

Required Qualifications:

• Education Requirement:  PhD in Engineering (e.g., Chemical, Mechanical) with Systems Engineering/Computer Science background.
• Technical Skills: Must be proficient in theory and use of knowledge graphs, graph RAGs, large language models, operations management, and machine learning.
• Available to work daytime office hours at Mason, OH location 5 days per week.
  

‍

Preferred Qualifications:

• Analytic Methodologies: Experience with applying Machine Learning, Data Science, Generative AI and Large Language Modeling (LLM) to real-world problems.
• Proficient in programming languages such as C, C++, Python with full stack development skills preferred.
• Strong background in mathematics and data architecture.
• Familiarity with W3 standards, OWL , SHAQL
• Publications in peer-reviewed scientific journals.

‍