• Own the AI-Driven Roadmap: Define and manage the detailed product roadmaps for new AI products across X-ray, CT, MRI, and Ultrasound—from initial concept through launch sequencing and ongoing iteration. • Drive Modality Deployments: Lead end-to-end deployment of new AI products for each modality, coordinating cross-functional readiness across AI, clinical quality, clinical operations, data, and engineering. • Own Data Product Requirements: Partner closely with Data Engineering to define requirements for data quality, preprocessing pipelines, storage, and architecture that enable reliable model training and production performance. • Facilitate Cross-Functional Execution: Serve as the day-to-day connector between AI, clinical quality, clinical operations, and data teams—helping lead recurring forums to align on decisions, unblock issues, and maintain momentum. • Manage Timelines and Resourcing: Build and maintain integrated timelines and resource plans, including headcount needs and key OPEX inputs (compute, storage, and data transfer), surfacing tradeoffs early. • Build the User Feedback Loop: Establish a repeatable process to gather user feedback post-deployment and translate it into a prioritized backlog of product improvements and experiments. • Define and Analyze Performance Metrics: Establish KPIs and dashboards to evaluate product performance, quantify operational impact, and package results for leadership, board, investors, and marketing narratives.