VP, Decision Science & Consumer Insights

Domino's•Ann Arbor, MI

14d•Hybrid

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.

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.

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.