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Director of Data Analytics

United StatesData AnalyticsRemote10+ YOE
Summary

Leads data analytics organization, managing Analytics Leads and driving product-aligned strategy, AI integration, and executive prioritization. Requires 10+ years data experience, 5+ years leadership, and expertise in modern data stack like Snowflake and dbt.

About the role

Responsibilities

Organizational Leadership & Coaching

  • Manage, mentor, and develop a department of Analytics Leads and their cross-functional sub-teams.

Drive Product Analytics Strategy

  • Act as strategic data counterpart to Product leadership.
  • Integrate data into product development lifecycle: define success metrics, architect A/B tests, measure feature impact, uncover product opportunities.

Drive the Strategic Roadmap

  • Shape and execute long-term vision for Data Analytics under VP of Data.
  • Anticipate future data needs and ensure proper team structure, tooling, and data models.

Pioneer AI in Analytics

  • Define and execute AI integration strategy, including agentic analytics and AI-powered self-service.

Executive Collaboration & Prioritization

  • Partner with C-level executives and peer Directors to prioritize high-leverage initiatives.

Elevate Standards & Best Practices

  • Establish and enforce standards for data governance, documentation, code quality, and dashboard UI/UX.

Drive Data Culture

  • Foster company-wide data literacy and self-service tools.

Requirements

  • 10+ years of data experience in analytics, data science, or related field, ideally at fast-paced tech company/marketplace, influencing product/business outcomes.
  • 5+ years of leadership experience managing high-performing teams across business units.
  • Mastery of product analytics, A/B testing, GTM strategies, user behavior; fluency in two-sided marketplace dynamics preferred.
  • Technical fluency with Snowflake, dbt, Hex, Looker.
  • Executive communication skills for board-level narratives.
  • Startup experience thriving in ambiguity and scaling processes.

Nice-to-Haves

  • Experience scaling data organizations through hyper-growth.
  • Master's or higher in quantitative field or MBA.
  • Healthcare data (claims, EHR, HIPAA) or marketplace analytics experience.
Skills
SnowflakedbtLookerHexA/B TestingProduct AnalyticsSQLData WarehousingBI PlatformsAI Analytics