Head of Clinical AI

Description Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients. Navina has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations, including Privia Health and Agilon. We are seeking a Head of Clinical AI to lead Navina's Clinical AI organization and play a central role in building the future of AI-powered healthcare products. This is a unique opportunity for a physician leader who combines deep clinical expertise, strong AI fluency, product thinking, and people leadership. You will lead a team of Clinical AI Managers and work closely with the Director of AI Products, Head of Data Science, AI Architect, and R&D leadership to translate product strategy into clinically impactful AI capabilities. You will drive AI initiatives from concept to production, helping shape how Navina leverages advances in AI while ensuring every capability we deliver is clinically sound, trustworthy, and impactful for healthcare providers and patients. Responsibilities Leadership & Team Development • Lead, mentor, and develop the Clinical AI Managers team, fostering excellence in clinical reasoning, AI innovation, execution, and leadership. • Build a high-performing Clinical AI organization operating at the intersection of medicine, AI, and product development. • Establish best practices and processes that enable effective execution across multiple AI initiatives. AI Product Development & Execution • Partner closely with the Director of AI Products to translate product strategy and business priorities into actionable AI initiatives and delivery plans. • Lead AI projects from ideation through production deployment, driving alignment across Product, Data Science, Engineering, and Clinical AI teams. • Drive execution and accountability across initiatives, ensuring high-quality delivery and measurable customer impact. • Help identify opportunities where AI can create meaningful value for clinicians, healthcare organizations, and patients. AI & Technical Leadership • Serve as a strategic partner to the Head of Data Science, AI Architect, and R&D leadership in the design and development of AI-powered product capabilities. • Bring deep understanding of modern AI systems, including machine learning, large language models, and agentic AI applications, into product development discussions. • Contribute to AI solution design, evaluation strategies, model improvement efforts, and emerging AI initiatives. • Help assess and adopt new AI technologies that can advance Navina's products and competitive advantage. • Act as a trusted thought partner who connects clinical expertise with technical innovation and product development. Clinical Quality, Validation & Governance • Own the clinical validation strategy for AI-powered capabilities throughout the product lifecycle. • Define how clinical quality, safety, grounding, and trustworthiness are evaluated and measured. • Ensure AI-generated insights, recommendations, and workflows are clinically sound and aligned with real-world physician needs. • Establish frameworks for monitoring and continuously improving clinical performance of AI systems in production. • Represent the clinical perspective in key product, AI, and technology decisions. Customer & Market Engagement • Engage directly with physicians, healthcare organizations, and industry stakeholders to understand evolving clinical needs and validate product direction. • Bring frontline clinical insights into product development and AI innovation efforts. • Serve as a champion for clinically responsible AI both internally and externally. Requirements • MD degree required. • Proven leadership experience managing and developing high-performing teams. • Strong understanding of modern AI technologies, including machine learning, large language models, and generative AI applications. • Experience working closely with Product, Data Science, Engineering, or AI teams in a technology-driven environment. • Demonstrated ability to lead complex initiatives from concept through production. • Strong product mindset and ability to translate strategy into execution. • Deep understanding of clinical workflows, physician decision-making, and healthcare delivery. • Excellent communication and stakeholder management skills, with the ability to influence clinical, technical, and business audiences. • Strategic thinker with strong execution capabilities and a track record of delivering impactful outcomes. Preferred Qualifications • Experience building, launching, or scaling AI-powered healthcare products. • Experience evaluating AI systems and designing validation, quality, or governance frameworks. • Familiarity with value-based care, population health, and the US healthcare ecosystem. • Hands-on experience with clinical informatics, data analysis, experimentation, or AI development workflows. • Experience working in digital health, health technology, or AI-first organizations.