Pankaj Sharma

Vice President of Engineering for Commercial Marketplaces and Product Ingestion

Managing a global engineering team that focuses on Commercial Marketplaces and Offer Management capabilities for all Microsoft and partner products --Consolidated three globally distributed teams into one team of 300+ engineers and developed a common technology vision and OKRs for the organization --Delivered 10X improvement in product ingestion SLAs for all the products in Microsoft catalog while increasing launch throughput by 3X --Delivered platform capabilities that helped drive triple digit growth in billed sales YOY for two consecutive years -- Developed a coherent data platform that could provide insights and experimentation for adoption growth and improved NPS/CSAT for customers

Managed a large team of product and technical program managers focusing on creating world class commercial experiences for Microsoft including Azure, Office 365 and Dynamics and Power BI/Power Apps -- Delivered capabilities for flexible payments for long term offerings driving 4X revenue growth YOY -- Established rhythm of business for managing the delivery priorities for 500+ engineers -- Delivered departmental purchase capabilities for seat based products driving adoption of key Microsoft products by 20-30%

--Launched Azure Cost management service providing customers valuable timely insights for their cloud cost which became the most used service on Azure --Provided Customer 360 insights for Sales, Marketing and Finance teams to have deeper engagement with the customers and partners --Developed the vision and delivered the consumed revenue analytics for cloud that drove partner and field incentives and revenue reporting

--Built generic data platform components that doubled the agility for 1000+ data developers across the organization --Delivered Information catalog containing application metadata for Multi-Fabric Data Applications to support seamless data exchange across applications --Delivered data virtualization services at scale supporting millions of data queries daily from global advertising customers and partners

--Started the Data Warehouse Services for the Ads business and built Big Data Warehouse from scratch in a large Map reduce environment. This includes building low SLA data processing pipelines for monetization subject area to large scale data sets for training machine learning algorithms --Reduced 4.5 PB of storage and reduced the machine utilization with higher average performance for data access

Had various positions in BI Center of Excellence mostly focusing on BI Application platforms like --Metadata Driven ETL platform --Data Virtualization Layer --Business Data Catalog --Building out large scale Data Warehouse for Microsoft Services and Support organization