Microsoft's cloud business is growing exponentially, and it is the Cloud Supply Chain and Provisioning (CSCP) team that is responsible for enabling the infrastructure underlying this growth. Key responsibilities include demand forecasting, capacity planning, supply chain management, data center build-out, and deployment execution. To efficiently manage this scope at scale, analytics based on high quality, timely data flowing across business processes is essential. The engineering team within CSCP is in the midst of a transformation that will enable the business to efficiently scale to meet these needs. Ultimately, we envision inverting the man-machine initiative, whereby predictive and prescriptive analytics anticipate future states, take action, and humans review and oversee this work. Within CSCP, the Common Platform Engineering Team owns a common data capability to aggregate, transform, and normalize data; provide descriptive and predictive analytics with actionable insights; and provide
The work involves building out an enterprise wide data platform, a service bus with common events, data ingestion, data quality tracking, a data catalog, and the creation of predictive analytic models using Azure Machine Learning and other systems. It will require working closely with subject matter experts to understand their information needs, make data accessible with descriptive analytics, and work with them to pragmatically apply the power of predictive analytics. We are looking for a Principal Group Engineering Manager who is passionate about transforming information to intelligence; who
BS in Computer Science or equivalent, MS preferred 10+ years of experience designing and developing software 5+ years of experience leading engineering teams 5+ years of experience with building and operating large scale data systems. Preferred: Proficient with C#, test-driven development, refactoring and object-oriented development. Experience designing and developing scalable data ingestion and transformation systems in batch and near real time environments. Experience applying machine learning methods on challenging business problems. Ability to meet Microsoft, customer and/or government security