Job Details

Oakland, California, United States; Remote - US

About the Job

LaunchDarkly is creating a dedicated Head of Data & Analytics role to establish a single, accountable owner for the companys most critical data, metrics, and analytical foundations. This role exists to ensure LaunchDarkly operates with watertight, auditable, executive-grade metrics as the business scales and prepares for the future. Reporting to the CFO, the Head of Data & Analytics will define, govern, automate, and certify the metrics that matter most to LaunchDarkly (e.g., ARR, NRR, GRR, Customer Count, product-level ARR), while partnering closely with Finance, GTM, Product, and Engineering. The leader will work collaboratively across teams to ensure the metrics that matter are always available, represented in useful and insightful ways, and 100% accurate and consistent. Preference is for this person to be based in the Bay Area, but remote US also considered.

The Head of Data & Analytics will:

• 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

Responsibilities

Company-Critical Metrics Ownership

• Define precise, unambiguous definitions for core metrics (ARR, NRR, GRR, FCF, product-level ARR, etc.), including edge cases and use cases
• Own the final certification of these metrics across internal and external reporting
• Ensure metrics are consistent across Finance, GTM, Product, and Executive reporting
• With other analytics teams, build and maintain real-time executive dashboards for core metrics and leading indicators
• Ensure recurring reporting is fully automated once stabilized
• Eliminate manual, spreadsheet-driven, or analyst-dependent reporting processes

Governance, Quality & Watertight Data

• 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

Predictive & Forward-Looking Analytics

• 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

Cross-Functional Leadership (Without Direct Control)

• Coordinate a working group across GTM Analytics, Data Engineering, Product Analytics, and Finance
• Partner closely with Engineering (data infrastructure ownership) and GTM teams (functional analytics)
• Drive alignment and outcomes through influence, clarity, and credibility rather than hierarchy

Team & Operating Model

• Directly manage a small analytics team (initially 12 analysts, potentially in lower-cost regions)
• 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

Qualifications

• 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 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

Technical & Analytical Depth

• 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

Executive Presence & Judgment

• 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

Pay:

Target pay ranges based on Geographic Zones for Level E1. Within the United States, geographic pay zones are defined by counties surrounding major metropolitan areas. This role includes a 20% bonus target. Exact compensation may vary based on skills, experience, and location.

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle $378,000 - $520,000
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago $340,000 - $468,000
• Zone 3: All other US locations $321,000 - $442,000

Note: Eligibility for RSUs, health, vision, dental, and mental health benefits are included in compensation.

About LaunchDarkly

LaunchDarkly helps developers deliver features faster while maintaining control and safety. The platform enables targeted experiences, feature experimentation, and coordinated releases across devices, with insights to improve engineering cadence and stability.

We are an equal opportunity employer and value diversity. We do not discriminate on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We invite applicants to review our Affirmative Action Plan and contact People Ops at ...@launchdarkly.com for information.