Health AI Product Manager - Remote

This position has the option of working a hybrid (preferred) or remote schedule. Overview UC San Diego Health is advancing a comprehensive strategy to develop enterprise AI and digital health capabilities that deliver measurable impact across clinical, operational, and population health domains. Central to this work is the Mission Control vision, which integrates real time data, applied artificial intelligence, and digital health platforms to provide system wide insight and action across the care continuum. This strategy is grounded in the quadruple aim and in a sustained organizational commitment to leveraging AI to expand access, improve outcomes, enhance quality, and enable clinicians and staff to spend more time on direct patient care. Mission Control product development is a core priority, focused on building scalable generative, predictive, and agentic AI applications supported by modern cloud infrastructure. The technology landscape is dynamic and intentionally flexible, emphasizing best fit solutions while scaling cohesive enterprise capabilities. In addition to custom AI product development, the role supports enterprise AI solutions and governance efforts to ensure responsible adoption and alignment across the health system. This position operates within UC San Diego Health Information Services under shared leadership with the Jacobs Center for Health Innovation, maintaining strong ties to translational innovation while driving enterprise scale and operational durability. Position and Team UC San Diego Health is seeking an AI and Digital Health Product Manager to lead a portfolio of enterprise AI and digital health products, with primary focus on Mission Control product development. The role leads the design, execution, and ongoing management of AI enabled applications built on modern cloud platforms, including generative and predictive AI tools, agentic systems, multimodal data environments, and supporting infrastructure such as application hosting, web services, authentication, mobile interfaces, and secure data access. The position operates within a multidisciplinary environment that includes cloud engineers, data scientists, AI engineers, application developers, architects, and enterprise platform teams. The Product Manager owns the full product lifecycle, including problem definition, solution design, prioritization, roadmap development, launch, adoption, and performance management, while technical teams are responsible for implementation and engineering execution. In addition to custom product development, the role partners with enterprise stakeholders to evaluate, implement, and manage vendor based AI solutions such as Zoom AI, Microsoft Copilot, Doximity GPT, Amazon QuickSuite, AWS Q, Nabla, Artisight, Proximie, and other emerging enterprise AI tools. A portion of the role also supports enterprise AI program coordination, including facilitation and preparation for the Health AI Steering Committee and alignment of AI initiatives across the organization. The position reports to the JCHI Co-Director, who provides functional leadership for Intelligent Automation and Enterprise AI initiatives, and works across JCHI and Information Services stakeholders to align priorities, capabilities, and delivery. What We’re Looking For The ideal candidate brings experience leading AI and digital health products in complex healthcare or enterprise environments, with demonstrated ability to translate emerging AI capabilities into scalable, production ready solutions. Successful candidates are motivated by improving enterprise health system operations and delivering meaningful impact at scale through thoughtfully designed digital products. Experience with generative, predictive, and agentic AI systems is strongly desired, including familiarity with the full product lifecycle from concept through deployment and ongoing monitoring. Candidates should understand how AI applications interact with cloud infrastructure, data pipelines, enterprise identity and security frameworks, and end user interfaces. The role requires broad familiarity with enterprise health system operations and technologies, including electronic health records, healthcare integration technologies, cloud platforms, omni-channel engagement systems, and adjacent enterprise systems that support care delivery. Candidates must be comfortable partnering with vendors and industry collaborators while maintaining clear product ownership and governance discipline within the organization.

MINIMUM QUALIFICATIONS

Nine (9) years of related experience, education/training, OR a Bachelor’s degree in related area plus five (5) years of related experience/training. Related experience includes product management of intelligent automation or workflow orchestration solutions; AI-enabled operational platforms; enterprise application products integrated with EHR systems such as Epic; healthcare integration and interoperability technologies (e.g., HL7, FHIR, APIs); omnichannel engagement platforms; vendor-supported automation solutions; and enterprise digital transformation initiatives in complex healthcare or large-scale enterprise environments. Advanced knowledge of product development concepts, practices, standards and processes. Proven ability to identify key issues critical to the organization's long-range success of a desired product or service. Proven ability to research, collect and analyze information to use in determining product options or alternatives. Advanced organization and project management skills to lead large or multiple cross-functional teams. Advanced verbal communication skills to effectively present, negotiate, convey and explain information. Advanced written communications skills to draft clear, concise documentation, reports and specifications. Ability to lead, build consensus and promote the exchange of information among project team, internal and external constituencies. Advanced knowledge of Microsoft Office Suite software.

PREFERRED QUALIFICATIONS

Pragmatic Institute certification in Product Management, Product Operations, Product Innovation, or a combination thereof preferred. If not currently certified, completion of relevant Pragmatic Institute certification(s) aligned to the role’s scope is required within four months of hire. Strong product management discipline, including roadmap development, prioritization, lifecycle management, and outcome measurement. Experience authoring and leading the development of product artifacts, including product roadmaps, product and solution architecture diagrams, interface and integration architecture diagrams, data flow diagrams, business process flow diagrams, agent diagrams, and governance frameworks. Experience contributing to or helping operationalize a product operating model, including intake, prioritization frameworks, KPI tracking, governance processes, and portfolio reporting. Demonstrated ability to independently manage smaller initiatives, including timeline coordination, dependency tracking, and risk management, with experience partnering effectively with dedicated project managers on larger, complex efforts preferred. Experience supporting or facilitating enterprise-level program governance, including coordination of cross-functional AI initiatives and preparation for executive steering committees or enterprise oversight forums. Experience leading development of cloud-based digital applications, including web or mobile applications, secure hosting, identity management, APIs, and integration with enterprise systems. Experience building or scaling AI-enabled products within cloud environments, particularly AWS, including generative, predictive, or agentic AI applications supported by modern data and infrastructure architectures. Experience working within enterprise data and cloud environments, including multimodal data architectures and pipelines, secure cloud application hosting, web services, and enterprise identity and access integrations such as SSO. Experience partnering with security, privacy, and compliance stakeholders to design and deliver AI-enabled products with appropriate controls, auditability, and risk management. Enterprise healthcare and adjacent enterprise systems, including Epic applications and modules (hands‑on build experience is a plus but not required), as well as systems such as patient safety, ERP, survey/experience, timekeeping, and analytics platforms. Healthcare integration and interoperability technologies, including HL7, FHIR, APIs, event‑driven architectures, and frameworks such as Model Context Protocol (MCP) that support agentic AI. Experience applying AI governance, evaluation, and safety frameworks, including oversight of model performance, bias mitigation, human‑in‑the‑loop controls, and regulatory or compliance considerations in healthcare environments. Experience evaluating AI performance using quantitative and qualitative metrics, including outcome measurement, reliability, and operational impact. Operational familiarity with one or more healthcare domains, including patient access and scheduling, population health, outpatient and inpatient clinical operations, perioperative workflows, revenue cycle, or care coordination and transitions of care. Experience partnering across engineering, clinical, operational, and executive stakeholders to define, scale, and sustain digital products in complex healthcare organizations. Experience evaluating and managing vendor-based AI solutions and enterprise SaaS tools, including serving as a product liaison to assess capabilities, align roadmaps, and coordinate delivery with platform vendors and external partners. Experience operating within large academic medical centers or integrated delivery systems. #J-18808-Ljbffr UC San Diego Health