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Elastic

Director of Data and Analytics, Self Service Cloud

United States; United StatesRemote · United States
Director+ · SSC
POSTED 12 NOVVERIFIED JUST NOW
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Role
0 days opentrue age
Closes in ~71d at the median (71d)
Posted 12 Nov · n=68
Payats field
$170k–268kposted
▲ +5% vs market median $210k
$158k$268k
Market p25–p75
$158k–$248k
United States · n=133 · 365d to 11 Nov
CompanyElastic →
420open roles
Opened · 30d
+73
Closed · 30d
−65
11d of snapshots · 30d window
Market
371open · Director+ Analytics / Data science
Opened · 7d
+205% of open
All analytics / data science
7,618open
All tracked boards · live 12 Nov · n=371
Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

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
Source · ElasticFirst seen 12 NovOriginal ↗