Director of Customer Intelligence

Lead the strategy and evolution of customer intelligence, analytics, pricing, and market insights to drive data-informed decisions that accelerate customer growth. Build and scale a high-performing analytics organization while partnering across Customer, Data Science, Data Engineering, Product, and Finance to transform complex data into actionable business strategy. Champion AI-powered customer intelligence by developing predictive capabilities, real-time customer insights, and next-best-action frameworks that improve acquisition, engagement, retention, and commercial outcomes. Own the customer org's data and analytics strategy, model, and roadmap, partnering with customer org leaders to define priorities, capabilities, and measurable outcomes. Lead and develop a team of analysts that are accountable for data, insights and pricing to provide recommendations to customer acquisition, lifecycle performance, and customer experience teams. Serve as the data SME for customer org leadership, translating complex customer behavior, marketing effectiveness, pricing, lifecycle economics and commercial performance data questions into clear, actionable direction. Act as the primary conduit to centralized data science and data engineering teams; negotiate resource commitments and resolve competing priorities to ensure customer org needs are scoped, resourced, and on the roadmap. Design and optimize data workflows that improve speed, reliability, and accessibility of insights for customer measurement, attribution, experimentation, pricing analytics, customer segmentation and insight activation. Lead the vision and development of a real-time customer data layer in partnership with data engineering, which will be an operational system defining what a complete, live picture of a customer looks like across behavioral signals, financial state, risk signals, lifecycle stage, communication history, and contextual patterns. Partner with Data Science to build and maintain predictive models that go beyond behavioral pattern recognition to model customer intent and a next-best-action framework that translates model outputs into specific recommended actions for AI agents, the product, and human-facing teams. Partner with Data Engineering to establish reliable, accurate affiliate revenue reporting as a foundational data capability, defining the business requirements, validating the output, and ensuring the customer org has consistent commercial visibility into affiliate-influenced acquisition and