[Hiring] Director of Data and Analytics @Elastic

Role Description

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.

Qualifications

• 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.

Compensation

• The typical starting salary range for this role is: $169,700 — $268,400 USD.
• In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply: $203,900 — $322,600 USD.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with a minimum of 16 weeks of parental leave.