Job Description

The VP, ANALYTICS & INSIGHTS will accelerate Domino’s competitive advantage by shaping and leading the vision and roadmap for the Digital Science, Marketing Science, and Customer Insights teams. This leader will continue to advance the impact of Analytics & Insights as well as be the visionary voice of the customer, ensuring that the core of decision-making is centered on brand strategy and personalized customer excellence. We are seeking a dynamic, influential, and collaborative leader with expertise in measuring and maximizing our customer lifetime value plus igniting sustained growth across various customer touchpoints. This is an exciting new position reporting to the Chief Analytics & Insights (A&I) Officer who will lead and integrate a 20+ team of data scientists, analysts, and insights team members to help unlock the next era of business acceleration for Domino’s.

Responsibilities

• Steer customer-centric strategies and decisions that maximize customer lifetime value
• Redefine the QSR experience to deliver 1:1 personalization across customer touchpoints
• Shape and track progress towards Domino’s personalization milestones as well as outline the data and analytics roadmap and investments required to enable these efforts
• Architect a strategic consumer Growth Roadmap that scales user acquisition and lifecycle marketing through a multi-channel strategy (e.g., paid media, social paid/earned, loyalty, community/influencer development, targeted offers) for a more personalized approach to CRM
• Develop integrated strategies around menu pricing models, national/local offers, and delivery fee concepts to identify optimization opportunities that drive top and bottom-line growth
• Influence holistic profitability guidelines by leveraging dynamic pricing, geospatial analytics, etc.
• Steer the analytics driving Domino’s loyalty program evolution to ensure continued membership growth, incrementality, and profitability
•  Identify opportunities for optimization along the physical and digital customer journey, unlocking ideas for a more frictionless experience and improved conversions
• Play a pivotal role in development of effective, consumer-centric advertising and innovation ideas by raising the bar on creative excellence
• Drive a deeper understanding of our fans, customers, and marketplace to illuminate and inspire the brand to play an even more significant role in the lives of people and culture
•  Ensure best-in-class and personalized approaches in Consumer Insights, Digital Marketing Analytics, Customer Lifetime Value, CRM, A/B testing, and Targeting

Qualifications

• Strong experience in personalization as well as with customer data to identify new ways of leveraging existing data and ways to modernize current approaches
• 10-15 years of progressive experience in data analytics, strategy development, or related field
• Good understanding of the QSR business, customer journeys, and social listening are a plus
• Bachelor’s Degree in business, statistics, computer science, or related field. Master’s preferred
• Proven track record of effectively managing change in a highly collaborative/fast-paced setting
• Excellent verbal, written, and presentation communication skills across levels and functions
•  Results-driven, identifying and prioritizing activities that drive impact
•    Demonstrated effective problem-solving skills, ability to make sound strategic decisions
• Proven experience in creating and managing budgets
• Encourages diversity, curiosity, and explores new ways of doing things
• Effectively coaches, inspires, and develops team, providing stretch opportunities plus building strong engagement and performance
• Good understanding of qualitative and quantitative research methodologies with a broad range of research techniques
• Strong experience with identifying and utilizing consumer segmentation, customer lifetime value, A/B Testing, multi-channel attribution, and marketing mix models
• Experience with analytic tools such as Adobe Analytics, Google Analytics, SQL, R, Python, Alteryx, Tableau, as well as very large data sources, best-in-class research methods and applied statistics. This includes sampling approaches, causal modeling, time series analysis, and data-mining techniques in collecting and predicting consumer sentiment, behavior, and feedback.

Additional Information

Role is in Ann Arbor, MI and will require relocation for candidates that are not local

All your information will be kept confidential according to EEO guidelines