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Lead end-to-end AI and data projects, define scope and timelines, align cross-functional teams, manage risks and stakeholders, drive operational excellence, and ensure high-quality, scalable delivery.

Lead end-to-end delivery of complex AI and data projects: define scope, plans, milestones, and resources; manage cross-functional teams; own stakeholder communication, risk mitigation, quality, budget, and continuous process improvement.

Evaluate AI-generated responses and user queries for factual accuracy and relevance, verify claims using reliable sources, identify misinformation, and follow annotation guidelines to maintain high-quality datasets for AI models.