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Director of Growth & Customer Analytics

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Zip Co
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 199000 - 240000 USD Yearly USD 199000.00 240000.00 YEAR
Job Description & How to Apply Below
  • Lead the strategy for Growth & Customer Analytics, helping determine where, when, and how Zip invests to drive customer acquisition, engagement, retention, pricing, and long-term commercial growth.
  • Build and scale a high-performing analytics organization that transforms customer and marketing data into business decisions through close partnership with Customer, Product, Finance, Data Science, and Data Engineering.
  • Champion AI-enabled customer intelligence by translating predictive analytics, customer insights, and next-best-action capabilities into measurable business outcomes rather than simply analytical outputs.
  • Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office.

Start your adventure with Zip

Zip is entering its next phase of growth as we expand from a single-product business to a multi-product platform. As marketing investment accelerates, we're looking for a Director of Growth & Customer Analytics to help determine where, when, and how we invest to drive customer growth.

This leader will own the customer organization's analytics strategy and serve as the primary strategic partner connecting Customer leadership with centralized Data Science and Data Engineering teams. Success in this role means translating customer, marketing, pricing, and lifecycle analytics into decisions that improve acquisition, engagement, retention, and commercial performance.

Interesting Problems You'll Get to Solve

  • Own the Growth & Customer Analytics strategy, operating model, and roadmap, partnering with Customer leadership to define priorities, marketing investment strategy, and measurable business outcomes.
  • Serve as the strategic analytics partner to Customer leadership, translating customer behavior, marketing effectiveness, pricing, lifecycle economics, and commercial performance into clear business recommendations.
  • Lead and develop a high-performing analytics team responsible for customer acquisition, lifecycle analytics, pricing, customer experience, partnerships, and commercial insights.
  • Partner with centralized Data Science and Data Engineering teams to prioritize business requirements, influence technical roadmaps, and ensure analytical capabilities are operationalized across the organization.
  • Improve the accessibility, quality, and speed of customer insights by optimizing measurement, experimentation, attribution, pricing analytics, customer segmentation, and insight activation.

This role is ultimately about helping Zip make better customer and marketing investment decisions. The Director will use analytics to shape business strategy while partnering with centralized technical teams to deliver the capabilities that make those decisions possible.

Cross-Functional Projects You’ll Own

  • Partner with Data Engineering to define the business vision, requirements, and priorities for a real-time customer data layer that enables better customer, marketing, pricing, and lifecycle decisions across the organization.
  • Partner with Data Science to define business requirements, prioritize use cases, and operationalize analytical capabilities including:
    • Predictive models that go beyond behavioral pattern recognition to model customer intent. We aim to understand and action on why customers do what they do, not just what they do
    • 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 give the customer org a reliable, up-to-date view of acquisition channel effectiveness, translating model outputs into investment recommendations that optimize budget allocation across paid, owned, and partner channels
  • Partner with Data…
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