VP, AI Transformation

Qualified Health
Remote Posted 20 March 2026

Tech Stack

Job Description

Houston, TX Remote, US; Travel required Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: The VP, AI Transformation will play a pivotal role in managing and delivering value to our healthcare clients. This individual will be responsible for overseeing client engagements, ensuring successful project execution, identifying high-potential AI use cases, driving product discovery and developing product requirements together with the product team, and maintaining strong client relationships. VP, AI Transformation will be the primary point of contact for 2-3 key clients, attending all meetings, and coordinating action items between clients and internal teams. Additionally, this person will support the implementation team during the launch phase to maximize client experience and will facilitate the data integration process, understanding various client data environments and internal engineering team requirements to successfully deliver the product. Key Responsibilities: Serve as the primary liaison between Qualified Health and assigned clients. Develop and manage against Partnership Plan including articulation of business goals, KPI definition and project plans. Lead all client meetings, providing updates, gathering feedback, and ensuring alignment on project goals. Coordinate and execute action items, ensuring timely delivery of project milestones. Perform thorough workflow analysis, identification of critical areas for value creation, assessment of AI fitness, workflow integration approach and change management needs, and provide additional requirements to product teams as necessary. Identify new use cases and create business and product requirements that provide incremental value to the client. Monitor project progress, identify potential issues, and implement creative solutions to deliver client value. Develop and maintain strong relationships with clients, understanding their needs and ensuring their satisfaction. Continuously seek opportunities to improve client engagement processes. Facilitate the data integration process in collaboration with engineering, understanding various client data environments and internal engineering team requirements to successfully deliver the product. Collaborate with internal teams, including product development and engineering, to deliver solutions that meet client requirements. Prepare and present regular status reports to clients and internal stakeholders. Required Qualifications: Education: Bachelor’s degree in Engineering, STEM, Business Administration, Information Technology, or a related field. A Master’s degree is preferred. Required Experience: Minimum of 5 years of experience in consulting, client engagement, and/or product management. Proven track record of successfully managing client relationships and delivering complex projects. Ideal Experience Minimum of 10 years of experience in customer success, client engagement, account management, and/or product management within the healthcare provider industry. Experience with data integration processes and understanding of various client data environments. Experience working with AI technologies or healthcare IT solutions is highly desirable. Desirable Skills: Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely. Interpersonal Skills: Strong interpersonal skills ... (truncated, view full listing at source)
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