Program Manager 2-#DataAnalyticsPM @ Microsoft

• Working hands-on with prospects and customers to demonstrate value and driving success from demo to proof-of-concept to design and implementation.
• Capturing best-practices from engagements, field teams and engineering, and sharing with the worldwide Azure Data Services community via whitepapers, blogs, presentations and training
• Maintaining deep understanding of complementary and competitive technologies and vendors and be able to design and position a more compelling Azure Data Services based solution.
• Collaborating with product management and Dev teams to continuously improve the product.

• Assisting and advising our partner ecosystem to develop robust, high quality solutions for customers.
• Organize trainings and workshops to for partner enablement and training.
• Be a trusted advisor to some of our largest customers and guide them in their Azure Synapse Analytics Lifecycle

5 + years of technical and consulting experience in the following or related areas:

• D atabase products, system migrations, project management, customer and partner communications, partner enablement and cloud adoption projects.
• Demonstrated ability to engage with customers and partners to synthesize a simple solution from ambiguous and/or complex business requirements and constraints.
• Hands-on experience in Azure SQL D ata W arehouse or competing technologies .
• Hands-on experience in designing, implementing and tuning big data and D ata W arehouse solutions . Understanding of database systems (MPP architectures preferred), usage scenarios and implementations.
• Understanding of data, application, server and network security

• Familiarity with common BI and data visualization tools (e.g., Tableau, Micro Strategy, Business Objects and Power BI)
• Experience with data integration and data management tools (e.g., Informatica, Data Stage, Integration Services, Ab Initio and Azure Data Factory)
• Hands - on exposure to data engineering development lifecycle, tooling and best practices
• Knowledge of and experience with large-scale database technology (e.g., SQL Server, Netezza, Oracle, Teradata)
• Experience working with customers in a pre-sales or post-sales technical role.

• Excellent written, oral, and interpersonal communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts.