Jobs and Careers

Principal Data Science Manager

United Statesfull_timeVerifiedPosted 16 Jun 2025

💰 $304,200/yr($139,900/yr – $304,200/yr)

About the role

The SharePoint Data Science team champions a data-driven culture, enabling informed decisions across the organization. Collaborating with engineering, marketing, finance, and business leaders, we uncover opportunities to enhance customer experiences and drive product growth. Our team analyzes data trends, delivers performance insights, builds predictive models, recommends actions, and conducts experiments to validate impact. As we continue to innovate, we are increasingly incorporating state-of-the-art AI technologies, including Language Learning Models (LLMs), to transform our data science processes. These advancements are not only improving our analytical capabilities but also automating complex tasks and refining our approach to big data, making our insights more actionable and precise.

We seek an experienced Principal Data Science Manager to lead a team focused on unlocking new value for Microsoft customers by analyzing product consumption across SharePoint. Use your expertise in data science and product offerings to help deliver exceptional experiences for our customers and partners.

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.

Responsibilities

Set the vision, drive prioritization, and guide technical approaches for leveraging data across SharePoint and Microsoft 365 products to identify and pursue the right business opportunities.
Translate complex data insights into actionable product strategies by blending analytical rigor with strategic clarity.
Hire and develop talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.
Establish success measures that set a high bar of achievement for our organization and drive accountability through our team and partners.
Contribute to scaled A/B product experimentation through strategy, experiment design, and metrics definitions.
Serve as a leader within the organization by creating clarity, inspiring others, and delivering high quality.

Qualifications

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
3+ years people-management experience.
3+ years of experience recruiting and managing data scientists, program/product managers, business/data analysts, or related roles from industry and/or academia.
Demonstrated experience as an organizational leader.
Functional knowledge of cloud computing and online services business models, including business, technical, financial, and operational measurements.

Other Requirements:

Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings: