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At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re 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’re seeking a strategic and experienced Director for AI Data Strategy & Operations to manage the business strategy for post-training data collection and data operations, with particular focus on multimodal data. This role will drive vendor selection, contract management, negotiation, and data operations. The ideal candidate will provide strategic oversight and coordination across cross-functional teams, driving operational excellence and enabling scalable data programs.
Job Responsibility:
Lead post-training data collection (e.g. human evals, training data), including vendor selection, contract negotiation, and management
Act as primary data operations POC for key research efforts and pillars, including Multimodality (images, audio, video) and multilingual
Support data operations across human data vendors, including tracking of POs, spend, amortization schedules, and milestone delivery
Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Compliance, Finance, and Engineering
Advance the AI frontier responsibly and embody Microsoft’s culture and values
Requirements:
Master's Degree in Business Administration or related field AND 4+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration
OR Bachelor's Degree in Business, Finance, Economics, Computer Science, or related field AND 6+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration
OR equivalent experience
Bachelor’s Degree AND 10+ years' experience in technical data operations, procurement program management, or finance systems integration OR equivalent experience
Proven experience in leading large, cross-functional programs and strategically managing AI data vendor relationships
Expertise in managing data operations for AI research organizations and working closely with scientists on data collections
Demonstrated ability to maintain oversee budget/impact tracking systems and cross-functional programs
Experience leading large-scale multimodal data programs for AI research organizations