Director, AI Enablement

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. This is precision cardiology, and we know it’s within reach. What Will You Do? As Director/Senior Director, AI Enablement, you 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, you directly advance Prolaio’s mission to unlock continuous, predictive, and shareable heart data and translate it into better cardiovascular outcomes. You 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. Overview The role involves leading enterprise AI enablement strategy, guiding cross‑functional alignment, and partnering with product, engineering, data science, analytics, and business teams to design and deliver AI‑powered capabilities. Specifics 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. 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. 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. 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. 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. Drive the implementation of agentic AI use cases that enable task automation, role‑based workflow orchestration, and operational efficiency while maintaining appropriate human oversight, auditability, and control. Establish repeatable processes and operating frameworks for evaluating, piloting, validating, deploying, monitoring, and continuously improving AI‑powered features and products in production environments. Collaborate with technical teams to support the integration of AI‑enabled services into modern application, data, and cloud architectures using platforms such as GCP, AWS, or Azure and data environments such as Snowflake, Databricks, or proprietary platforms. Qualifications Bachelor’s degree in computer science, engineering, data science, artificial intelligence, or another relevant technical field. Minimum 15 years of progressive experience in healthcare, life sciences, digital health, or healthcare technology. Track record of identifying and scaling AI use cases across clinical trial, healthcare data, and enterprise application platforms in a regulated environment. Experience improving internal user experience and enterprise workflow effectiveness through AI use cases supporting functions such as Marketing, Finance, Clinical Operations, Supply Chain, IT, Analytics, and Data Science. Proven experience developing and launching AI‑powered products or features in production in a regulated environment, such as chatbot experiences, generative AI‑enabled search, intelligent retrieval, conversational interfaces, and workflow copilots. Experience implementing agentic AI or advanced automation approaches for task execution, role‑based automation, decision support, or workflow orchestration. Strong understanding of healthcare data, clinical workflows, and enterprise systems, along with the ability to translate business and user needs into deployable AI capabilities. Working knowledge of healthcare regulatory (FDA requirements and global standards, 501(k) submission, 21 CFR Part 11 across product development and post‑market activities), privacy, quality and risk frameworks relevant to AI deployment in healthcare and clinical environments. Strong communication, executive presence, stakeholder management, and change leadership skills, with the ability to operate as an independent self‑starter. Benefits Meaningful compensation: competitive salary, performance bonus, and equity. Great health coverage: medical, dental, and vision plans with multiple options and strong company contributions. Flexible spending perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account. Time to recharge: generous paid time off, sick leave, and company holidays. Family‑first benefits: paid parental leave, caregiver leave, and support for growing families. Security and peace of mind: company‑paid life insurance and short‑ and long‑term disability coverage. Plan for the future: 401(k) plan. Care when you need it: easy access to telehealth and optional supplemental coverage. Starting Salary is at $209,000.00 (Exact compensation may vary based on skills, experience, and location). As set forth in Prolaio’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr