Director of Data and Analytics, Self Service Cloud
Elastic Β· United States
πΊπΈ Remote (US)Manager$169,700 β $268,400/yr3d ago
At a glance
- Where
- Remote β open to applicants in the United States
- Pay
- $169,700 β $268,400/yr β as listed by Elastic
- Level
- Manager
- Team
- Data
- Experience
- 10+ years
- Posted
- November 12, 2026
- Last confirmed open
- 4m ago
- At Elastic
- 47 open remote roles β mostly Sales & Business (16), Software Development (10), Marketing (6). Pay is listed on 44 of them ($65,600 β $315,900/yr).
- How to apply
- Directly on Elastic's own site β no NodJobs account needed.
About the role
This role owns data and analytics for Elastic Cloud's self-service business across Product, Growth Marketing, Web, and Documentation, including executive reporting and a single customer journey view. It is a player-coach leadership role that builds and leads a team of Data Engineers and Data Analysts.
What you'll do
- 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, including weekly operating reviews, monthly business reviews, and quarterly planning.
- Build dashboards and self-serve reporting, including trusted AI-powered chat responses, to answer ad hoc analytics questions for business teams.
- Build a single view of the customer journey across 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.
- 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.
- Own data management and governance for the self-service business as 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.
- Build, scale, and lead a small distributed team of Analytics Engineers, Data Analysts, 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.
- Work with Product, Growth Marketing, Web, and Documentation teams to define metrics, instrument experiences, and answer 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.
- Coach and develop the team of Analytics Engineers, Data Analysts, and Business Analysts (covered only partially; coaching is listed, development is included).
What you'll need
- 10+ years of data and analytics experience at B2B enterprise SaaS companies.
- 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.
- Hands-on depth across 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 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.
Benefits listed by Elastic
- Stock program eligibility
- 401(k) with dollar-for-dollar company match up to 6% of eligible earnings
- Health coverage for you and your family in many locations
- Flexible locations and schedules for many roles
- Generous vacation days each year
- Donation and volunteer matching
- Minimum of 16 weeks of parental leave
Tools & skills mentioned
SQLAirflowdbtSnowflakeBigQueryLookerTableauAmplitudeGoogle Analytics
Summarized by NodJobs from Elastic's posting. Read the full posting on Elastic's site β
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