Principal Product Management Lead- Analytics

Microsoft Security’s Economics & Analytics team improves how the division makes decisions. We build the shared metrics, rigorous analysis, and repeatable processes leaders need to allocate resources effectively and drive better business, customer, and security outcomes. Our work spans measurement, insights, operational efficiency, and decision science, turning complex data into clear and actionable decisions. The Principal PM Lead manages full-stack PMs responsible for business, operational, people, AI, and product metrics, including executive and insights dashboards. This leader sets strategy and a prioritized roadmap for the centralized function, partnering across Microsoft Security to define trusted measures, strengthen data foundations, clarify ownership, consolidate platforms and processes, and use AI and automation to deliver scalable, decision-ready insights.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Additional or preferred qualifications

• 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.