Principal PM Manager
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 04, 2025 | |
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OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Platform Reliability team is a critical part of the Microsoft Fabric service fundamentals and drives quality through reliability telemetry, continuous improvement programs, data analytics and quality excellence initiatives. The Fabric Reliability team partners with product and engineering teams to achieve customer expectations and Azure Data leadership goals. The team operates in a dynamic environment where agility, collaboration, and open communication are key. The large scope and impact of the team provide great opportunities for professional development and growth. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
ResponsibilitiesDeliver success through empowerment and accountability by modeling, coaching, and caring. Live our Microsoft and Azure Data culture. Embody our values. Practice our leadership principles. Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Attract and retain great people. Know each individual's capabilities and aspirations. Invest in the growth of others.Serves as an expert to help cross-divisional teams partner with others (e.g., Engineering, Product) to collect reliability metrics (e.g., key performance indicators [KPIs] such as service level indicators, service level objectives, availability, quality, and performance), monitor and report on progress (e.g., service reviews), and derive insights that lead to productive courses of action to improve development, iteration, and implementation across multiple products or functional areas (e.g., product, service, platforms). Coach teams to identify and address gaps in reliability telemetry to develop insights on products' quality of service and drive continuous improvement across Azure Data. Ensures teams form hypotheses to technical needs, perform experiments, and iterate to drive improvement in specific reliability telemetry metrics that have measurable impact on Microsoft Fabric offering. Ensures teams share insights with partners and stakeholders.Oversees cross-divisional teams tracking, coordinating, and communicating end-to-end reliability programs across multiple products or functional areas (e.g., product, service, systems), leveraging automation, artificial intelligence, and/or workflows where applicable. Ensures teams establish and monitor processes and hold other stakeholders accountable for following the established service level agreement and processes.Oversees teams who own the customer quality experience and provides documentation (e.g., quality of service guidelines, best practices). Ensures teams monitor how products and/or services are being used. Holds teams accountable for tracking and understanding a root-cause analysis for live-site incidents and leveraging automation and AI where appropriate. Provides strategic direction to help teams understand and drive improvements in the quality programs and processes. Oversees cross-divisional teams who collaborate with users, partners, or stakeholders (e.g., business-process owners, support, Engineering) on broad live-site improvement opportunitiesEmbody our culture and values | |