About the position
Microsoft 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 in 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. We are seeking a product manager to lead internal workload enablement efforts across Fabric's ecosystem. In this high-impact individual contributor role, you will partner closely with internal product teams to ensure their workloads are seamlessly supported by the core data platform. You'll identify platform gaps, define cross-cutting requirements, and drive platform level investments that enable consistent integration across teams. The ideal candidate combines strong product thinking, technical depth, and stakeholder management skills to accelerate adoption and enable consistency.
Responsibilities
- Lead internal workload enablement efforts across Fabric's ecosystem.
- Partner closely with internal product teams to ensure their workloads are seamlessly supported by the core data platform.
- Identify platform gaps and define cross-cutting requirements.
- Drive platform level investments that enable consistent integration across teams.
Requirements
- Strong product thinking skills.
- Technical depth in data platforms and analytics.
- Stakeholder management skills.
