VP, Head of Insights at DOMINOS PIZZA FRANCHISE

Ann Arbor, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Aug, 26

Salary

0.0

Posted On

10 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Consumer Research, Personalization Strategy, Advanced Analytics, Generative AI, Predictive Modeling, Market Intelligence, Data Science, Decision Science, Customer Modeling, Stakeholder Management, Strategic Planning, Quantitative Research, Qualitative Research, AI Ethics, Leadership, Storytelling

Industry

Restaurants

Description

Company Description Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, the most craveable food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team! Job Description Reports to: EVP, Chief Marketing Officer Location: Ann Arbor, Michigan (Onsite) The VP, Head of Insights will 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. Key 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 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. Qualifications 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 Additional Information All your information will be kept confidential according to EEO guidelines. Job Category Org: Global Analytics and Insights Location Name - Location Code: Domino's Pizza LLC-WHQ

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Responsibilities

Lead the vision and execution of consumer insights, personalization strategies, and GenAI-driven innovation to drive data-informed decisions. Oversee advanced analytics and research programs to shape customer-centric growth across marketing and product experience.