• 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