Drimva

Microsoft

Principal Product Management Lead- Analytics

$143K–$304K

Redmond, WA · On-site · Principal · Full-time · Posted Oct 16, 2026

Experience
8+ years in product/service/program management or software development, or equivalent experience; 1+ year(s) people management. Preferred: 12+ years in the stated fields or equivalent experience; 3+ years people management; additional experience requirements are listed in the posting.
Education
Bachelor's Degree or equivalent experience.

About the job

Leads Microsoft Security’s centralized metrics function, managing product managers and setting strategy for trusted metrics, data foundations, executive dashboards, and AI-enabled insights.

What you'll do

  • Lead and develop full-stack product managers responsible for business, operational, people, AI, and product metrics.
  • Set the metrics function’s vision, roadmap, operating model, and priorities; improve data quality, governance, adoption, and consistency.
  • Partner across teams to consolidate data sources and reporting, oversee executive scorecards, and apply AI and automation to metrics.

What they ask for

  • Bachelor's Degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • 1+ year(s) people management experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Nice to have

  • 3+ years people management experience; 4+ years taking a product, feature, or experience to market.
  • Experience leading metrics, analytics, data products, reporting, or operational planning at organizational scale.

Pay

USD $142,800 - $274,800 per year (base pay); USD $188,000 - $304,200 per year (base pay)

Tools

AI, automation, modern data platforms, BI, visualization tools, telemetry systems

AI focus

Apply AI and automation across the metrics lifecycle and use AI-assisted analytics workflows to deliver scalable, decision-ready insights.

Model-written summary · the original posting is authoritative

First seen Oct 17, 2026 · Last verified Nov 5, 2026 (UTC)