​​Principal PM - Data Science - Bioinformatics ​

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 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. ​ 

​​Strategic Accounts team within Azure Data works with strategic customers and ISVs across the world to help them leverage azure data services in most effective and mutually profitable ways. We're hiring a data science PM as a part of this group to work with customers building next-gen bioinformatics application on Fabric. You should possess deep solutions architecture and technical expertise, business acumen, and have the ability to clearly communicate at all levels with the customer. You will be an SME on Data Engineering with extensive experience in Bioinformatics domain. You will work with customers and partners to co-own the Bioinformatics roadmap for Fabric and associated Azure data services. Through close engagements with strategic customers, you will represent the voice of the customer distilling new requirements and issues into improvements for engineering teams. You will also collect patterns and lessons learned from your engagements and turn them into reference architectures, best practices and training for engineering teams and the global Azure Data Services community. 
 

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