Director of Data and Analytics, Self Service Cloud

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

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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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. 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 as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is:

$169,700 — $268,400 USD

The typical starting salary range for this role in the select locations listed above is:

$203,900 — $322,600 USD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• 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

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