Microsoft · 2 days ago
Principal Data Science Manager
United States
Full-time
Remote
Lead/Staff
$163K/yr - $296K/yr
8+ years expMicrosoft aspires to help customers achieve their AI and digital transformation. As a Principal Data Science Manager, you will lead a team of data scientists and engineers, guiding the development of data platforms to enable analytics and AI capabilities while delivering actionable business insights to the Commercial Solution Area Corporate team and the worldwide sales organization.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know and develop everyone’s capabilities and aspirations. Invest in the growth of others
Metrics Definition, Reporting and Analysis
Oversee and advise others on conceptualizing, defining, driving alignment on, and evangelizing foundational metrics and dashboards to democratize data-driven decision-making and look beyond existing opportunities to make improvements
Steers partnerships with internal customers to define and translate vague, complex, and/or large-scale business problems into data-verifiable hypotheses and ensure team objectives are connected to relevant key performance indicators (KPIs)
Refines methods for analyzing and interpreting internal, highly complex, unstructured and/or structured data, ensuring teams consider external sources or cross-line-of-business information where necessary to assess business health and understand what drives business outcomes and/or drive business outcomes at the organizational level
Provides input on best practices for developing and employing models and causal analyses (e.g., panel analysis, A/B testing) to determine what drives metric relationships and lead the creation of innovative, actionable insights within highly complex product domains
Lead the team to develop classical Power BI reporting as well as agentic UI to meet the needs of internal constituencies
Strategic Analysis and Opportunity Identification
Leads team on recommending improvements to standards for performing complex data analyses exploring potential and/or proposed opportunities for improved growth, innovation, and efficiency, potentially impacting business strategy
Shapes expectations for creating compelling, data-centric stories and recommendations based on analytical findings, leading others to heavily influence and shape strategic direction and decision-making
Drives a strategy to maintain a secure, highly productive and cost-effective Data and AI platform to maintain and improve high productivity standards of the Data Scientists in the team
Drives innovation (customer 0) by identifying opportunities to leverage AI and new technologies as they become available. Encourage and create opportunities for continuous learning
Responsibly manage vendor budget and Azure subscription costs to achieve business goals
Translating Business Needs into Data Solutions
With a solid grasp of cloud consumption, ABS business and the MCEM sales process, you will coach the data science team and internal stakeholders to interpret business context and convert strategic objectives into clear analytical frameworks. With a strong focus on driving business performance, you will ensure insights remain relevant to evolving business priorities and are delivered in concise, actionable terms that drive impact across diverse stakeholder groups
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
5+ years people-management experience
Preferred
Experience working in the software and cloud services industry, market shaping trends such as AI and routes to market
Experience working in a variety of customer segments, industry verticals, and their corresponding sales engines with demonstrated success in driving revenue growth in new business models
Experience identifying opportunities and alternatives while influencing a large team to execute on them (with demonstrated results) in a global matrix
Experience steering initiatives and foster a collaborative environment by managing cross-functional teams, creatively resolving issues, and driving change. This includes developing business relationships and promoting adaptive leadership to navigate complex organizational dynamics
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
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