LaunchDarkly

Head of Data & Analytics

LaunchDarkly

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Salary

💰 $321,000 - $520,000 per year

Job Level

About the role

  • Create one authoritative source of truth for company-critical metrics
  • Eliminate loose definitions, inconsistent nomenclature, and manual reconciliation
  • Deliver real-time, executive-ready dashboards with full auditability
  • Establish governance and self-validation processes so metrics remain correct over time
  • Build predictive capability for the metrics that drive company value
  • Define precise, unambiguous definitions for LaunchDarkly’s core metrics (ARR, NRR, GRR, FCF, product-level ARR, etc.), including all edge cases and use cases
  • Own the final certification of these metrics across all internal and external reporting
  • Ensure metrics are consistent across Finance, GTM, Product, and Executive reporting
  • Build and maintain real-time executive dashboards for core metrics and leading indicators
  • Ensure all recurring reporting is fully automated once stabilized
  • Eliminate manual, spreadsheet-driven, or analyst-dependent reporting processes
  • Establish data governance processes so metric changes follow defined approval and change-management workflows
  • Implement validation, reconciliation, and self-audit mechanisms to ensure ongoing accuracy
  • Act as the executive owner for data trust, accuracy, and reliability
  • Develop predictive views for key metrics such as ARR growth, NRR, churn, and free cash flow
  • Partner with FP&A to ensure forecasts and long-range plans are grounded in trusted data
  • Identify leading indicators and early warning signals for performance risks and opportunities
  • Coordinate a working group across GTM Analytics, Data Engineering, Product Analytics, and Finance
  • Partner closely with Engineering and GTM teams
  • Drive alignment and outcomes through influence, clarity, and credibility rather than hierarchy
  • Directly manage a small, high-leverage analytics team
  • Design a scalable operating model that balances centralized metric ownership with distributed analytics execution
  • Maintain high velocity while operating with CFO-level rigor and discipline

Requirements

  • Proven experience owning company-level metrics in a B2B SaaS company at ~$200M+ ARR
  • Direct exposure to Board reporting, or pre-IPO data readiness
  • Deep understanding of SaaS metrics and their edge cases
  • 10+ years of progressive analytics and data leadership experience, including ownership of company-level metrics.
  • Experience defining metric taxonomies and governance models across complex organizations
  • Ability to work effectively in matrixed environments with Finance, GTM, Product, and Engineering
  • Track record of eliminating data ambiguity and rebuilding trust in numbers
  • Strong understanding of modern data architectures, BI tools, and analytics workflows
  • Comfort partnering with Data Engineering teams that own pipelines and platforms
  • Ability to go deep when needed, but operate primarily at the executive and systems level
  • Clear, confident communicator who can challenge assumptions respectfully
  • Trusted partner to CFO, CEO, and executive leadership
  • High integrity and appreciation for the accountability and liability associated with company-critical data.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
data governancemetric certificationpredictive analyticsdata validationdata reconciliationSaaS metricsmetric taxonomiesanalytics workflowsB2B SaaSexecutive dashboards
Soft Skills
influenceclaritycredibilitycommunicationtrust-buildingleadershipcollaborationaccountabilityproblem-solvingstrategic thinking