Head of Insights

Domino'sAnn Arbor, MI
Onsite

About The Position

The 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.

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

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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