Set the vision, strategy, roadmap, and priorities for the centralized metrics function, focusing investment on the measures, data foundations, and insights with the greatest decision value. Establish an end-to-end operating model for metrics—from decision needs and accountable ownership through data onboarding, quality, governance, adoption, and continuous improvement. Partner across Finance, engineering, data, product, operations, and HR to standardize definitions and consolidate fragmented data sources, platforms, dashboards, and reporting processes. Own the direction and operating model for executive scorecards and insights and visualization experiences, ensuring they are trusted, coherent, and fit for their audiences. Apply AI and automation across the metrics lifecycle, measure the function's impact, and communicate complex metric issues and tradeoffs clearly to senior leaders Bachelor's Degree AND 8+ years experience in product/service/program management or software development 1+ year(s) people management experience. Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience. 3+ years people management experience. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Demonstrated ability to translate executive and business needs into measurable definitions, data requirements, reporting experiences, and operating processes. Written and verbal communication skills, including experience communicating complex data, measurement, or operating-model topics to senior leaders. Experience with cost and operational metrics such as COGS and Opex; people metrics; AI consumption or token metrics; and product adoption, usage, quality, or business-outcome metrics. Experience defining semantic standards, metric taxonomies, data contracts, governance models, or other mechanisms that create consistency across teams and reporting surfaces. Experience building or managing executive scorecards, leadership dashboards, self-service insights, or visualization products for audiences with different levels of data fluency. Working knowledge of modern data platforms, BI and visualization tools, telemetry systems, experimentation, and AI-assisted analytics workflows. Demonstrated ability to identify process and platform inefficiencies, clarify decision rights, and lead simplification or consolidation efforts with measurable results. Product judgment about when to standardize centrally, when to preserve domain-specific ownership, and how to balance speed, rigor, usability, and governance. Track record of developing high-performing teams, setting clear accountability, and creating an inclusive environment where people can do their best work. Knowledge of cybersecurity products, cloud services, or large-scale enterprise software businesses. Experience leading metrics, business intelligence, analytics, data products, reporting, or operational planning at organizational scale. Experience defining product or program strategy, setting a roadmap, and driving execution across multiple partner teams and organizational boundaries.