Lead cross-functional initiatives to build and scale data annotation programs Own program delivery across internal teams, vendors, and ML stakeholders Define roadmaps, manage SLAs, create scalable processes, and resolve bottlenecks Define and drive end-to-end execution of large-scale annotation programs Collaborate with ML, product, and data operations teams to scope labeling needs Own vendor engagement: onboarding, SLA management, training, and quality reviews Build feedback loops between annotators and model performance Create dashboards and reporting mechanisms to track labeling velocity, quality, and cost Lead initiatives to improve labeling efficiency through tooling and automation Be the voice of labeling in cross-functional forums Manage and mentor a team of threat analysts who conduct labeling Conduct analysis of labeling quality and detection improvements Hire and train new or replacement threat analysts