Goldman's Data Chief Neema Raphael Leads 500-Person Team to Organize Data for AI Models After 20-Year Career Overseeing Critical Systems
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Neema Raphael is Goldman Sachs' chief data officer, overseeing a 500-person team organizing and standardizing data to power AI models.
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Raphael has worn many hats at Goldman over his 20-year career, from leading engineering teams to building core pricing and risk systems.
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His data platform team is cleaning up and structuring data, crucial groundwork for effective AI down the line.
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Raphael incorporated Goldman's alternative data sourcing under his purview to get exclusive data to trading desks faster.
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He advises young data scientists to deeply understand the data, connect it to real-world contexts, and marry it with business needs.