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

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

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 minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co . We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.