Senior Data Strategy & Insights Manager

Microsoft Microsoft · Big Tech · Redmond, WA +2 · Data Analytics

This role is for a Senior Data Strategy & Insights Manager on the CMO Strategy team at Microsoft. The primary focus is on overseeing large-scale consumer data sets, managing an external data engineering partner, and providing rigorous analytical insights to inform strategic decisions for Microsoft's consumer business. The role involves data analysis, infrastructure oversight, partner management, and strategic business support.

What you'd actually do

  1. Oversee and analyze large-scale consumer data sets to surface meaningful patterns, trends, and signals that inform strategic decisions.
  2. Develop deep familiarity with the consumer data platform architecture — understanding how data flows, where it lives, and how to get the most out of it.
  3. Serve as the day to day manager of our external data engineering partner, setting priorities, directing analytical work, and holding the team accountable to quality and timelines.
  4. Support business optimization efforts across the team’s strategic initiatives, connecting analytical findings to consumer business outcomes.
  5. Build effective working relationships with consumer strategy leadership and cross functional partners across the consumer business.

Skills

Required

  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • equivalent experience

Nice to have

  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
  • equivalent experience
  • Proven experience working with large scale consumer data platforms and complex, high volume data sets — with a strong understanding of how data infrastructure is built and how data flows end to end.
  • Established quantitative and mathematical skills; ability to apply rigorous analytical methods (e.g., lifetime value modeling, behavioral analytics, predictive modeling) to generate reliable, high-quality insights.
  • Experience directing or collaborating with data engineering teams; ability to scope analytical requests, evaluate technical outputs, and hold partners accountable to quality standards.
  • Ability to prioritize tasks, activities, and deliverables to ensure timely completion of objectives in a dynamic, fast-moving environment.
  • Ability to translate analytical findings into clear, concise outputs that support leadership decision making.