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Senior Data Strategy & Insights Manager

Microsoft

Senior Data Strategy & Insights Manager

Microsoft

United States, Washington, Redmond; United States, California, Mountain View

·

On-site

·

Full-time

·

5d ago

Overview

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.

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:

Qualifications Required/minimum qualifications

  • 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.

Additional or preferred qualifications

  • 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.

Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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关于Microsoft

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

员工数

Redmond

总部位置

$3000B

企业估值

评价

3.8

5条评价

工作生活平衡

4.1

薪酬

4.3

企业文化

3.4

职业发展

3.2

管理层

3.0

65%

推荐给朋友

优点

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

缺点

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

薪资范围

5,620个数据点

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Applied Science

1份报告

$234,166

年薪总额

基本工资

$180,128

股票

-

奖金

-

$234,166

$234,166

面试经验

1次面试

难度

4.0

/ 5

时长

14-28周

体验

正面 0%

中性 0%

负面 100%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit