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Stefania Gvillo, Senior Vice President, Global Chief Analytics and Insights Officer, Domino’s Pizza

Stefania Gvillo, Senior Vice President, Global Chief Analytics and Insights Officer, Domino’s Pizza

Describe your career to date

My career spans over two decades across Fortune 500 companies and start-ups, impacting brand transformation, consumer value enhancement, and sustainable growth through strategic analytics and insights. My favorite part is nurturing best-in-class team members who are passionate about building products, driving the business, and helping one other to succeed.

I joined Domino’s in 2020, overseeing data science, analytics, and insights initiatives that steer business decisions by integrating hard data with human empathy and cultural trends. I am also involved in diversity and inclusion efforts, co-sponsoring WiSDOM (championing Women in STEM at Domino’s).

Prior to Domino’s, I was Global Head of Strategic Insights and Analytics (I&A), where I influenced the strategic direction across iconic global brands like Cadbury and Oreo, co-created the I&A vision, and helped to significantly improve the global I&A engagement scores.

I was fortunate to be part of PepsiCo over a 15-year tenure with progressive roles, ultimately culminating as Portfolio Strategy and Consumer Insights for North America Beverages. Partnering with incredible leaders and team members, we reversed enduring portfolio declines and doubled dollar sales from innovations within three years.

Prior to PepsiCo, I held various insights and analytics roles at Clorox and in the dot-com industry. Throughout my career spanning scrappy start-ups to industry leaders, I have been passionate about building high-performance teams and fostering a collaborative learning culture, ensuring that our work not only drives corporate growth but also cultivates positive organizational change.

How are you developing the data literacy of your organization, including the skills of your data teams and of your business stakeholders?

At Domino’s, fostering data literacy and enhancing the capabilities of our analytics and insights teams, as well as our business stakeholders, is foundational to our strategy. We believe in a holistic approach, integrating continuous learning, hands-on opportunities, and collaboration across all levels of the organization.

· Continuous learning: We hold recurring events like Data Sci-Fi, where team members share insights and innovations in data science and machine learning. Our annual learning day serves as an on-premises conference where industry experts share knowledge, thus broadening our team’s technical acumen.

· Hands-on application of advanced technologies: Tinker Time empowers team members to explore projects beyond their regular tasks, encouraging innovation and creative problem-solving. Our partnerships with industry leaders enable us to leverage cutting-edge technologies and methodologies. We have established an MLOps framework to streamline the lifecycle of artificial intelligence (AI) and machine learning models from development to deployment, ensuring proficiency in the latest industry standards.

· Business stakeholder engagement: For our work to increase value for the business, it is critical to build trusted strategic partnerships with other functions. Our philosophy is to pivot from data providers to data-driven decision-making. Through these initiatives, we aim to build a robust data-driven culture at Domino’s where data literacy is a shared competency, empowering every team member to contribute to the mission of shaping smarter decisions for better business outcomes.

What role do you play in building and delivering conventional artificial intelligence solutions, including machine learning models? Are you also involved in your organization’s adoption of generative AI?

Domino’s has progressively integrated advanced artificial intelligence and machine learning solutions across our operations since at least 2018, which has attracted media attention over the years. For instance, we have developed and deployed a variety of AI and machine learning models that are currently live, enhancing various facets of our e-commerce and in-store and delivery technology.

Our AI and machine learning journey has been marked by a commitment to innovation, driving improvements in business processes and customer interactions. Key areas of AI application have included personalization strategies, retail tech innovation, store siting, forecasting, and MLOps practices. The integration of AI and machine learning into our operations has not only improved efficiencies but has also played a crucial role in scaling our annual sales to over $4 billion.

By leveraging partnerships with industry leaders, we ensure that our technology stack remains cutting-edge, supporting our business’ scalability and continuous growth. Our focus on leveraging AI and machine learning strategically aligns with our organizational mission. This enterprise-wide dedication to technological empowerment has helped position Domino’s not only as a market leader in the quick-service restaurant sector but also as a pioneer in business innovation. Like other companies, we are on a journey and our focus is to amplify the scale and impact together with our cross-functional partners.

What stage has your organization reached on its data maturity journey?

Domino’s is on a continuous learning journey, especially given how industry and technology evolves every day. Data will always be a driving force in shaping decisions across the enterprise and it is constantly touted by leadership as our secret sauce. It is important to empower data scientists and strengthen data fluency at all levels across Domino’s to drive smarter decisions for our customers, franchisees, and operators.

Stefania Gvillo
has been included in:

100 Brands 2024 (USA)

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