Informacje o stanowisku

ABOUT US 

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks®, and more. Our community includes operations in approximately 70 countries worldwide.  Please visit www.pg.com for the latest news and information about us and our brands. 

Who we are

Information Technology (IT) at Procter & Gamble is where business, innovation, and technology integrate to create a competitive advantage for P&G. Our mission is clear - we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT mastery to deliver game-changing, technology-driven business models and capabilities for our 65 iconic, trusted brands.

The Opportunity 

As the Director of Data Science, youll be at the forefront of solving billion-dollar Data Science challenges across trillions of data points. Youll lead the design and development of scalable Data Science algorithms across functions and Business Units, using P&G’s cutting-edge global tech stack. This role will focus on building and improving Machine Learning, genAI / LLM and Optimization models at the enterprise level across operational, research, and strategic decisions. As a hands-on leader, youll oversee and develop a team of Data Scientists, leveraging your expertise to help them succeed and grow to the next level.

Key Responsibilities:

• Define and align strategy for the functioning of Data Science in the organization, ensuring operational excellence and scalability.
• Lead technical innovation by designing new algorithms that transform business processes.
• Manage and develop a team of 4-5 direct reports, growing to 9-12 direct reports, fostering a culture of learning and development.
• Collaborate with Data and AI Engineering teams to productionize algorithms and ensure their impact on business development.
• Quantify improvements in business areas resulting from algorithm use, influencing business development opportunities.
• Ensure algorithms adhere to production quality coding standards and follow corporate Data Science Development principles.

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