Data Engineer - Source AI

You will be part of the Source AI team and will have the opportunity to develop a deep understanding of the domain/function.

Source AI is a Gen AI fueled strategic category management platform within the Operations practice. It combines internal and external data with McKinsey’s functional and technological industrial expertise to empower category managers to make informed real-time decisions and unlock new opportunities. It is one of the fastest growing solutions in McKinsey, offering one-of-a-kind exposure to define the future of procurement powered by AI.

The Source AI team works with clients globally to deliver value for procurement functions supported by McKinsey’s extensive expert network. The team you would join is based out of Gurgaon. You will work closely with consultants and senior leaders serving clients in North America, Europe, Asia and the Middle East.

As a Data Engineer in Source AI you will have deep expertise in Snowflake and modern data architecture, hands on experience building high-performance data pipelines, ensuring data quality, managing migrations, and handling multiple Snowflake environments in a secure and efficient manner. This is a key role to scale our data ecosystem across domains and geographies.

You will collaborate with cross-functional teams to enhance the platform, ensuring seamless client deployment and continuous upgradation of functionalities, as per client demands. You will lead the analyses on key spending categories to identify opportunities through solutions and work with the practice leaders and experts in different regions to continuously build a solution with new functionalities and knowledge. You will connect with external market solutions and establish partnerships that can deliver value to both parties. As you grow in the role, you will mentor analysts on topics related to procurement analyses and delivery of solutions for clients.

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