Director, Marketing Analytics - Elastic

Elastic is seeking a Director, Marketing Analytics to translate marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows. Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data.

What You Will Be Doing

• Capital Allocation & Attribution: Operationalize open, explainable multi-touch attribution (MTA) and ROI frameworks that measure full-funnel contribution and ensure global budgets are allocated efficiently.
• Customer Journeys & Predictive Signals: Build customer journey frameworks in partnership with Marketing Ops to model critical touchpoints, while overseeing the deployment of predictive buyer intent and expansion signals to growth and sales teams.
• Information Architecture & AI Readiness: Standardize data taxonomy, metric definitions, and semantic models (dbt/BigQuery) across the marketing ecosystem, ensuring data foundations are structured, clean, and optimized for AI data interfaces.
• Cross-Functional Alignment & Visualizations: Partner across Sales, RevOps, Finance, and PLG to align on shared metrics, delivering executive-ready visualizations (Tableau) and data-backed stories that simplify planning, execution, and course correction.
• Team Leadership & Capacity Governance: Guide, mentor, and orchestrate a multidisciplinary analytics team, establishing clear intake triage processes that shield team capacity for high-impact strategic milestones.

What You Bring

• 10+ years of leadership experience managing multidisciplinary analytics teams, with a track record of unifying data engineers, analytics engineers, data scientists, and BI analysts toward shared commercial goals.
• Proven Measurement & Financial Acumen: Deep expertise in marketing measurement, modern attribution models, incrementality testing, customer journey mapping, and SaaS unit economics (CAC, LTV, NRR, Payback).
• Data Governance & Taxonomy Expertise: Demonstrated success designing information architectures, metric dictionaries, and governance standards that support automation and AI tools.
• Technical Stack Literacy: Hands-on technical comfort with SQL, modern data platforms (BigQuery, dbt), enterprise BI platforms (Tableau), and CRM/MarTech ecosystems (Salesforce, Marketo).
• Executive Storytelling & Cross-Functional Orchestration: Exceptional ability to translate complex quantitative models into clear economic narratives and strategic recommendations for executive leadership.
• Education: Bachelor’s degree in a quantitative or business field (such as Statistics, Economics, Data Science, or Business Administration) or equivalent professional experience.

Bonus Points

• Hands-on experience operationalizing predictive machine learning models (e.g., lead scoring, propensity models, churn risk) directly into Salesforce for seller actioning.
• Experience building measurement frameworks for partner-sourced, partner-influenced, or hyperscaler marketplace revenue.
• Direct experience analyzing Product-Led Growth (PLG), consumption-based, or usage-driven SaaS revenue models.

Compensation & Benefits

• Base Salary Range: $160,300—$253,600 USD (Standard US) / $192,300—$304,200 USD (Select Metro Areas)
• Equity eligibility through Elastic's stock program
• Company-matched 401(k) with 100% match up to 6% of eligible earnings
• Comprehensive health coverage for you and your family
• Generous vacation policy and flexible scheduling
• Minimum 16 weeks of paid parental leave
• Matching for charitable donations and up to 40 hours of paid volunteer time per year