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We\u2019re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. We\u2019re looking for a highly motivated and detail-oriented  Data Operations Manager (IC3) to make sure every dataset we acquire lands in researchers\u2019 hands, is validated for quality, and delivers measurable impact\u2014all while closing process gaps across Business Development, Procurement, Legal, Compliance, and Finance. We need someone who: Is familiar with the pipeline of collecting data, training, and then serving language and multimodal models. Has experience working side-by-side with researchers and engineers. Thrives in a fast-paced, innovative environment. Is passionate about managing high-stakes, time-sensitive, large-scale programs. Takes the initiative and enjoys finding paths through complexity in a fast-paced environment. 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Develop and implement validation workflows (in-house or vendor-managed); assign scientists, follow up on sign-offs, and report quality metrics. Budget &amp; procurement oversight  \u2014 create a unified tracking mechanism for Purchase Orders (POs), vendor spend, amortization schedules, and delivery milestones; surface risks early and drive on-time completion. Data catalog &amp; governance  \u2014 maintain a central library of validated datasets, metadata, and storage locations for MAI; support compliance and discoverability across Microsoft AI. Cross-functional coordination  \u2014 close operational gaps among Business Development, Procurement, Legal, Compliance, Finance, and Engineering; resolve supplier-web, invoice, or payment issues when escalations occur. Operational tooling &amp; analytics  \u2014 build dashboards that combine budget, delivery status, and impact metrics; leverage Azure, advanced Excel/SQL, and CRM/ERP data to optimize cycle times. 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