Principal Product Manager, Data Science & Market Research

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Product Management

Product Manager for Windows Platform & Developer team, focusing on data science and market research to inform strategy, investments, and competitive positioning. The role involves defining research strategy, building analytical frameworks, delivering market intelligence, and translating data into actionable insights for senior leadership. It emphasizes understanding developers, tracking platform health, and making investment decisions for Windows, which is evolving to support AI and agentic platforms.

What you'd actually do

  1. Define and own the data science and market research strategy for the Windows Platform & Developer organization, aligning research priorities to business and product goals.
  2. Build and maintain analytical frameworks that track platform health, developer adoption, ecosystem growth, and competitive positioning across Windows, macOS, Linux, and web/cross-platform alternatives.
  3. Deliver actionable market intelligence on developer trends, framework adoption and enterprise modernization patterns.
  4. Partner with engineering, product, and leadership teams to define KPIs, instrument telemetry, and build dashboards that drive data-informed decision-making.
  5. Lead primary and secondary research—developer surveys, competitive analysis, win/loss studies, and ecosystem assessments—to surface opportunities and risks.

Skills

Required

  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

Nice to have

  • 8 years of experience in product management, data science, market research, or strategic analytics, preferably in a platform or developer-focused organization.
  • Solid quantitative skills with demonstrated ability to design research, analyze large datasets, and extract actionable insights.
  • Ability to translate data and research insights into product strategy and executive-ready recommendations.
  • Strong communication skills with the ability to present complex analysis clearly to technical and non-technical audiences.
  • Experience working cross-functionally with engineering, product, and business teams.
  • Experience with developer platforms, developer tools, or application frameworks.
  • Familiarity with telemetry systems, experimentation frameworks, or BI/analytics platforms (e.g., Power BI, Kusto, Azure Data Explorer).
  • Background in competitive intelligence, market sizing, or ecosystem analysis for technology platforms.
  • Understanding of the Windows developer ecosystem, including Win32, .NET, WinUI, and cross-platform frameworks.
  • Experience with data visualization and building executive dashboards that drive organizational alignment.

What the JD emphasized

  • AI and agentic platform