Director of Data and Analytics, Self Service Cloud

What is The Role

We're looking for a Head of Data and Analytics to own data and analytics for Elastic Cloud's self-service business, spanning Product, Growth Marketing, Web, and Documentation. You'll be accountable for delivering accurate and timely business and operational insights to executive leadership, and for building a single view of the customer journey across Elastic's self-service touchpoints - Paid Ads, Web, Documentation, and Product.

This is a player-coach role that spans strategy, team building, and hands-on technical work. You'll build robust data pipelines, transformations, a data warehouse, and BI reporting; own data management and governance as the steward of core data definitions and golden queries; and build and scale a team of Data Engineers and Data Analysts.

What You Will Be Doing

• Business Insights & Executive Reporting

  • Deliver accurate and timely business and operational insights to executive leadership, covering funnel performance, revenue, and initiative impact
  • Own the reporting cadence for the self-service business - weekly operating reviews, monthly business reviews, and quarterly planning
  • Help business teams answer ad hoc analytics questions through building dashboards and through building self-serve reporting via trusted AI-powered chat responses
  
  

  Single View of the Customer Journey

  • Build a single view of the customer journey across Elastic's self-service touchpoints - Paid Ads, Web, Documentation, and Product
  • Solve identity resolution across anonymous and known users so the funnel can be measured end to end, from first touch to paying customer
  • Partner with Growth Marketing on attribution and channel measurement, and with Product on activation and conversion analytics
  
  

  Data Engineering & Platform

  • Build robust data pipelines, data transformations, a well-modeled data warehouse, and BI reporting the business can rely on
  • Set the technical architecture and tooling standards for ingestion, orchestration, transformation, and visualization
  • Ensure data quality, freshness, and reliability with monitoring, testing, and clear SLAs
  
  

  Data Management & Governance

  • Own data management and governance for the self-service business, acting as the steward of core data definitions and golden queries
  • Establish a single source of truth for core metrics
  • Set instrumentation and tracking standards with Product, Web, and Marketing so new data lands clean
  
  

  Team Leadership

  • Build, scale, and lead a small distributed team of Analytics Engineers, Data and Business Analysts
  • Coach and develop the team, and set a high bar for craft, rigor, and speed
  • Prioritize the team against the highest-impact business questions
  
  

  Cross-Functional Collaboration

  • Work with Product, Growth Marketing, Web, and Documentation teams to define metrics, instrument experiences, and answer their operational questions
  • Partner with Elastic's central Data and IT teams on shared infrastructure, data sources, and standards
  • Act as a thought partner to the GM and functional leads on what the data says and what to do about it
  
  

  What You'll Drive

  • Trusted executive reporting: accurate, timely business and operational insights leadership uses to run the business
  • Single customer journey view: end-to-end measurement across Paid Ads, Web, Documentation, and Product
  • Reliable data platform: robust pipelines, warehouse, and BI reporting the business can build on
  • Data governance: a single source of truth for core data definitions and golden queries
  • Team performance: a high-performing team of Data Engineers and Data Analysts with repeatable practices

What You Bring

• 10+ years of data and analytics experience at B2B enterprise SaaS companies, with 3+ years building and leading teams of data engineers and analysts
• Direct experience supporting a product-led growth (PLG) motion alongside an enterprise sales motion (e.g., Datadog, MongoDB, Atlassian, Confluent)
• Hands-on depth across the modern data stack: SQL, pipeline orchestration (Airflow or similar), transformation frameworks (dbt or similar), cloud data warehouses (Snowflake, BigQuery, or similar), and BI tools (Looker, Tableau, or similar)
• Experience with product and web analytics tools (Amplitude, Google Analytics, or similar) and marketing attribution
• Proven track record building a single view of the customer across marketing, web, and product data, including identity resolution
• Experience establishing data governance: metric definitions, golden queries, instrumentation standards, and data quality practices
• Strong business sense: able to translate executive questions into analysis, and analysis into decisions
• Excellent written and verbal communication skills, from executive presentations to technical detail
• Bias for action and comfort with ambiguity, energized by building systems that don't exist yet