About the Job:
LaunchDarkly is creating a dedicated Head of Data & Analytics role to establish a single, accountable owner for the company’s 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. While multiple teams contribute data and analysis today, this leader will work collaboratively with all teams to ensure the metrics that matter most are always available, represented in useful & insightful ways and are 100% accurate and consistent
Preference is for this person to be based in the Bay Area, but are open to considering remote US.
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 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
Reporting, Dashboards & Automation
- Working with other company analytics teams, 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
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 (who retains ownership of data infrastructure and pipelines) and GTM teams (who may produce functional analytics)
- Drive alignment and outcomes through influence, clarity, and credibility rather than hierarchy
Team & Operating Model
- Directly manage a small, high-leverage analytics team (initially 1–2 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:
SaaS & Scale Experience
- 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.
Data & Analytics Leadership
- 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:
- 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**
- (Inclusive of a 20% Bonus Target)
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
- Improving the velocity and stability of software releases, without the fear of end customer outages
- Delivering targeted experiences by easily personalizing features to customer cohorts
- Maximizing the business impact of every feature through the ability to experiment and optimize
- Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
- Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.
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