Senior Data Strategy & Insights Manager

Microsoft•Redmond, WA

About The Position

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission. The CMO Strategy team defines and drives Microsoft’s consumer growth strategy. We work at the intersection of data, strategy, and executive decision-making to shape priorities, align leadership, and accelerate business outcomes across the consumer organization. As a Senior Data Strategy & Insights Manager on the CMO Strategy team, you will be the analytical engine behind our consumer data efforts. You will oversee large scale data sets, work closely with our external data engineering partner, and ensure the team has the rigorous, high-quality analytical foundation needed to inform our most critical decisions. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Requirements

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
OR 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
OR equivalent experience.

Nice To Haves

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
OR 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
OR 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.

Responsibilities

Data Analysis & Infrastructure Oversight:
Oversee and analyze large-scale consumer data sets to surface meaningful patterns, trends, and signals that inform strategic decisions.
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.
Apply rigorous analytical methods — including lifetime value modeling, behavioral analytics, and large scale data aggregation — to generate high quality, reliable insights.
Ensure data quality, consistency, and integrity across reporting and analytical outputs.
Data Engineering Partner Management:
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.
Translate business questions into clear, scoped analytical requests and evaluate the outputs to ensure they answer the right question in the right way.
Identify gaps in the data engineering team’s approach and course-correct proactively to keep work on track.
Strategic & Business Support:
Support business optimization efforts across the team’s strategic initiatives, connecting analytical findings to consumer business outcomes.
Help define and track KPIs to support business strategy and measure progress against key initiatives.
Contribute to business rhythm deliverables by providing timely, accurate analytical inputs to support leadership decision making.
Stakeholder Engagement & Cross-Organizational Collaboration:
Build effective working relationships with consumer strategy leadership and cross functional partners across the consumer business.
Support alignment and delivery of data and insights for business rhythms.
Participate in cross functional collaboration and contribute to the team’s representation in forums and planning processes.
Engage constructively with peers, stakeholders, and Marketing & Consumer leadership.
Other:
Embody our culture and values.