Principal Product Management Lead- Analytics

Microsoft•Redmond, WA
•$142,800 - $304,200

About The Position

Microsoft Security’s Economics & Analytics team improves decision-making across the division by building shared metrics, rigorous analysis, and repeatable processes that help leaders allocate resources and improve business, customer, and security outcomes. The team’s work spans measurement, insights, operational efficiency, and decision science, translating complex data into clear, actionable decisions. The Principal Product Management Lead manages full-stack product managers responsible for business, operational, people, AI, and product metrics, including executive dashboards and insights. The role sets strategy and a prioritized roadmap for the centralized metrics 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 describes its mission as empowering every person and organization to achieve more. Its employees are expected to bring a growth mindset, innovate, collaborate, and uphold respect, integrity, and accountability in an inclusive culture.

Requirements

  • Bachelor’s degree and at least 8 years of experience in product/service/program management or software development, or equivalent experience.
  • At least 1 year of people management experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft background and Microsoft Cloud background checks upon hire or transfer and every two years thereafter.
  • Demonstrated ability to translate executive and business needs into measurable definitions, data requirements, reporting experiences, and operating processes.
  • Written and verbal communication skills, including 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 differing 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.

Nice To Haves

  • Bachelor’s degree and at least 12 years of experience in product/service/program management or software development, or equivalent experience.
  • At least 3 years of people management experience.
  • At least 4 years of experience taking a product, feature, or experience to market, including design, product-market fit, and launch, such as an internal tool or framework.
  • At least 6 years of experience improving product metrics for a product, feature, or experience in a market, such as growing a customer base, expanding customer usage, or avoiding churn.
  • At least 6 years of experience disrupting a market for a product, feature, or experience, such as through competitive disruption or replacing an established competing product.
  • 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.

Responsibilities

  • Lead, coach, and develop a team of full-stack product managers responsible for Microsoft Security’s core business, operational, people, AI, and product metrics.
  • Set the vision, strategy, roadmap, and priorities for the centralized metrics function, focusing investment on 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.
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