Director, AI Enablement

<p><strong>Who Are We?</strong></p> <p>Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.</p> <p>This is precision cardiology, and we know it’s within reach.</p> <p><strong>What Will You Do?</strong></p> <p><strong>The Overview</strong></p> <p>The Director/Senior Director, AI Enablement will lead how AI is imagined, built, and scaled across Prolaio, setting a strategy that brings production‑grade AI into clinical, operational, and enterprise workflows. By turning real healthcare and business needs into practical AI‑powered solutions, this role directly advances Prolaio’s mission to unlock continuous, predictive, and shareable heart data and translate it into better cardiovascular outcomes. This position will play a central role in shaping Prolaio’s approach to generative AI, intelligent search, conversational interfaces, chatbot experiences, agentic AI-driven task automation, and AI-enabled user workflows across clinical trial platforms, healthcare data platforms, analytics environments, and application experiences.</p> <p>&nbsp;</p> <p><strong>The Specifics</strong></p> <ul> <li>Define and lead the enterprise AI enablement strategy in alignment with Prolaio’s business priorities, product roadmap, and mission to advance cardiovascular research and care through real-world data and analytics.</li> <li>Identify, prioritize, and develop AI use cases across clinical trial platforms, healthcare data platforms, user-facing applications, and internal functions including Marketing, Finance, Clinical Operations, Supply Chain, IT, Analytics, and Data Science.</li> <li>Drive cross-functional alignment on AI priorities, business value, adoption goals, and success metrics, and communicate clearly with executive stakeholders on roadmap, risks, dependencies, and outcomes.</li> <li>Partner across Product, Engineering, Data Science, Analytics, and business teams to design and deliver AI-powered capabilities that improve user experience, collaboration, productivity, and decision-making in both internal and external environments.</li> <li>Lead the design, development, and productionization of generative AI features such as conversational assistants, clinical or enterprise search, knowledge retrieval tools, workflow copilots, and chatbot experiences.</li> <li>Drive the implementation of agentic AI use cases that enable task automation, role-based workflow orchestration, and operational efficiency while maintaining appropriate human over