Principal Data Science Manager

Microsoft aspires to help our customers achieve their ownAI and digitaltransformation,leveragingthe power of Microsoft cloud solutions and services, to support our missionof empoweringevery person and every organization on the planet to achieve more.

Key toour aspirations, the Customer Solutions Area(CSA) organizationplays a critical role,operatingat the center of our Commercial business,todefine, land and operateour 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,andinevery market.

Within the CSA organization, the Innovation and AccelerationBusinessInsightsteamworksacross our Commercial Solution Areas, and across Microsoft's Customer and Partner Solutionsand Marketingorganizations,providingdata andinsightsto accelerate the growth of our business.

AsPrincipal Data Science Manager,we are looking for an exceptional leaderand collaborator tolead a team of datascientistsand data engineers, guiding the development and maintenance of our data platformto enable high scale, big data, analytics and AI capabilitieswhile also deliveringactionable business insights, reporting and new capabilities (i.e.salesinsightsagents) to our Commercial Solution Area Corporate team as well as our worldwide sales organization.

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.

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 teamobjectivesand outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract andretaingreat people. Knowand developeveryone'scapabilities and aspirations. Invest in the growth of others.

Metrics Definition, Reporting and Analysis

• Overseeandadviseothers 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 teamobjectivesare connected to relevant key performance indicators (KPIs).

• Refines methods for analyzing and interpreting internal,highly complex,unstructuredand/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) todeterminewhat drives metric relationships and lead the creation of innovative, actionable insights withinhighly complexproduct domains.

• Lead the team to develop classicalPower BIreportingas well asagenticUI tomeet the needs of internal constituencies.

Strategic Analysis and Opportunity Identification

• Leadsteam onrecommending 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.

• Drivesa strategy tomaintaina secure, highlyproductiveand cost-effectiveData and AI platform tomaintainand improve high productivity standards of the Data Scientists in the team.

• Drivesinnovation (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 budgetand Azure subscription coststo achieve business goals.

TranslatingBusiness Needs into Data Solutions

• With asolidgrasp of cloud consumption, ABSbusinessand theMCEMsales process,youwillcoach the data scienceteam and internal stakeholderstointerpretbusiness context andconvertstrategicobjectivesintoclearanalytical frameworks.With a strong focus on driving business performance, youwillensure insightsremainrelevant to evolving business priorities and are delivered in concise, actionable terms that drive impact across diverse stakeholder groups.

Preferred Qualifications

• 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.