About the position
Lead the vision and execution of consumer insights , personalization strategies, advanced analytics, and GenAI-driven innovation to enable data-informed decisions across marketing, product, and customer experience. This role is pivotal in shaping Domino’s next era of customer-centric growth.
Responsibilities
• Consumer Research & Market Intelligence
• Design and oversee consumer research programs (qualitative and quantitative) to uncover behaviors, motivations, and unmet needs.
• Translate complex data into actionable insights that inform brand strategy, product innovation, and media planning.
• Champion the voice of the consumer in all strategic decisions.
• Personalization & Customer Modeling
• Drive personalization initiatives leveraging AI-enabled models (e.g., lifetime value, churn prediction, next best action).
• Partner with Integrated Customer Marketing (ICM) to embed personalization across owned media, e-commerce, and loyalty programs.
• Ensure KPIs and measurement frameworks are in place to track personalization impact.
• Analytics & Decision Science
• Lead advanced analytics teams to integrate 0P, 1P, and 3P data for predictive modeling and performance optimization.
• Foster a culture of data fluency and insight-driven leadership across the organization.
• Generative AI Strategy
• Identify and scale consumer-centric GenAI use cases (e.g., synthetic market research, AI-powered creative optimization, conversational analytics).
• Collaborate with tech and marketing teams to deploy GenAI tools for efficiency and innovation.
• Ensure ethical and responsible AI practices aligned with brand values.
• Leadership & Collaboration
• Build and mentor a high-performing team of researchers, data scientists, and AI specialists.
• Facilitate cross-functional collaboration with Marketing, Technology, Operations, and Finance.
• Represent Insights in executive forums and influence enterprise strategy.
Requirements
• Master’s degree in Data Science, or related field; PhD preferred.
• 12+ years in consumer insights, analytics, or decision science leadership roles.
• Proven experience in personalization strategy and AI/GenAI applications.
• Strong command of research methodologies and advanced analytics tools.
• Exceptional communication and storytelling skills to influence senior stakeholders.