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 and business performance. 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.

About the role

This is a leadership role that will serve as the primary data authority for our customer analytics and market research, as well as the connective tissue between our centralized data science and engineering teams and customer org leadership. This remote-first opportunity is for US-based employees with the option to work in-person out of our Manhattan office.

• 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 accountable for data, insights, and pricing to provide recommendations to customer acquisition, lifecycle performance, customer experience teams, and partnerships teams including affiliate, B2B efforts, and commercial pricing.
• Serve as the data subject-matter expert for customer org leadership, translating complex customer behavior, marketing effectiveness, pricing, lifecycle economics, and commercial performance data 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, defining a complete, live picture of a customer 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.
  • A next-best-action framework that translates model outputs into specific recommended actions for AI agents, the product, and human-facing teams.
  • Marketing Mix Modeling and multi-touch attribution capabilities that provide a reliable, up-to-date view of acquisition channel effectiveness and optimize budget allocation across paid, owned, and partner channels.
• Partner with Data Engineering to establish reliable, accurate affiliate revenue reporting as a foundational data capability, defining business requirements, validating output, and ensuring consistent commercial visibility.
• Build a clear, connected view of B2B marketing performance, spanning web analytics, account and engagement scoring, attribution models, and pipeline influence, creating clear reporting of commercial outcomes.

Requirements

• 10+ years of experience in customer analytics, marketing analytics, business intelligence, data science, or a related quantitative discipline, including 5+ years leading high-performing analytics or data teams.
• Proven experience building and executing enterprise data and analytics strategies that drive measurable business outcomes across customer acquisition, lifecycle management, pricing, and commercial performance.
• Deep expertise in customer analytics including experimentation, attribution, marketing mix modeling, customer segmentation, forecasting, pricing analytics, and lifecycle measurement.
• Experience partnering closely with Data Science and Data Engineering organizations to define business requirements, influence technical roadmaps, and deliver scalable data products and analytical capabilities.
• Demonstrated success translating complex analytical concepts into clear recommendations that influence executive decision-making and cross-functional strategy.
• Strong understanding of modern data ecosystems, customer data platforms, data governance, and real-time data architectures, with experience improving accessibility, quality, and reliability of enterprise data.
• Experience leading analytics initiatives that span multiple business functions, balancing competing priorities while aligning stakeholders around shared customer and commercial outcomes.
• Strong commercial acumen with experience using data to optimize marketing investment, customer growth, retention, pricing strategies, and revenue performance.
• Experience leading, coaching, and developing high-performing analytical teams while fostering a culture of curiosity, accountability, and continuous improvement.
• Experience defining and leveraging AI-driven customer intelligence capabilities, including predictive models, customer intent modeling, recommendation engines, and AI-powered decision frameworks.
• Bachelor's degree in Analytics, Statistics, Economics, Computer Science, Mathematics, Engineering, or a related quantitative field. An advanced degree (MBA, MS, or PhD) is preferred.

Benefits

• Flexible working culture
• Incentive programs
• Unlimited PTO
• Generous paid parental leave
• Leading family support policies
• Company-sponsored 401(k) match
• Learning and wellness subscription stipend
• Beautiful Union Square office with a casual dress code
• Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available

Pay

The annual base pay range for this position is $199,000 - $240,000. Additional premium percentages may apply based on location and other factors. The total compensation package may also include a 25% short-term incentive opportunity and equity awards, along with a full range of medical, financial, and other benefits.