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Microsoft aspires to help our customers achieve their own AI and digital transformation, leveraging the power of Microsoft cloud solutions and services, to support our mission of empowering every person and every organization on the planet to achieve more. Key to our aspirations, the Customer Solutions Area (CSA) organization plays a critical role, operating at the center of our Commercial business, to define, land and operate our Commercial go-to-market (GTM), connecting sales, marketing and engineering with field, customers and partners to bring ideas and products from incubation to scale across all customers we serve, and in every market. Within the CSA organization, the Innovation and Acceleration Business Insights team works across our Commercial Solution Areas, and across Microsoft’s Customer and Partner Solutions and Marketing organizations, providing data and insights to accelerate the growth of our business. As Principal Data Science Manager, we are looking for an exceptional leader and collaborator to lead a team of data scientists and data engineers, guiding the development and maintenance of our data platform to enable high scale, big data, analytics and AI capabilities while also delivering actionable business insights, reporting and new capabilities (i.e. sales insights agents) to our Commercial Solution Area Corporate team as well as our worldwide sales organization.
Job Responsibility:
People Management: Managers deliver success through empowerment and accountability by modeling, coaching, and caring
Metrics Definition, Reporting and Analysis: Oversee and advise others on conceptualizing, defining, driving alignment on, and evangelizing foundational metrics and dashboards
Steers partnerships with internal customers to define and translate vague, complex, and/or large-scale business problems into data-verifiable hypotheses
Refines methods for analyzing and interpreting internal, highly complex, unstructured and/or structured data
Provides input on best practices for developing and employing models and causal analyses
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
Shapes expectations for creating compelling, data-centric stories and recommendations based on analytical findings
Drives a strategy to maintain a secure, highly productive and cost-effective Data and AI platform
Drives innovation (customer 0) by identifying opportunities to leverage AI and new technologies as they become available
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
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
OR equivalent experience
5+ years people-management experience
Nice to have:
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