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Director of Growth & Customer Analytics

RemoteUnited States only
Published
Role
Data Science
Experience
Lead
$199k–$240k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior analytics leader to own Growth & Customer Analytics strategy and build a high-performing analytics organization. Requires 10+ years in customer/marketing analytics with 5+ years managing analytics teams; deep expertise in experimentation, attribution, marketing mix modeling, pricing analytics and predictive models. Remote-first for US-based employees (option to work from Manhattan/Union Square office).

Core skills

Customer AnalyticsMarketing AnalyticsAI-driven customer intelligence

Required skills

ExperimentationAttributionMarketing Mix ModelingCustomer SegmentationForecastingPricing AnalyticsPredictive ModelingData GovernanceCustomer Data PlatformsReal-time Data Architectures

What you'll do

  • 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.
  • 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, next-best-action frameworks, marketing mix modeling and multi-touch attribution.
  • Partner with Data Engineering to establish reliable, accurate affiliate revenue reporting and define business requirements, validate outputs, and ensure consistent commercial visibility into affiliate-influenced acquisition and revenue.
  • Own the business strategy and requirements for building a clear, connected view of B2B marketing performance, spanning web analytics, account and engagement scoring, attribution models, and pipeline influence reporting.

What they require

  • 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 the 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.
  • Preferred: An advanced degree (MBA, MS, or PhD).

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 (several 100% Zip-covered choices available)
  • 25% STI opportunity and equity awards (may be part of total compensation package)

Zip

Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before.

🇺🇸 United StatesProcurementStartupinfo-zip.org/Zip.html

Details

EngagementW-2 only
$199k–$240k/yr