AI Product Manager - Clinical Innovation

VCU Health•Richmond, VA

About The Position

The AI Product Manager - Clinical Innovation will spearhead the development and execution of AI capabilities across VCU Health’s clinical product portfolio. This role bridges technology, clinical practice, and operations, ensuring that AI products deliver measurable value, align with institutional goals, and adhere to the highest ethical and regulatory standards. Leveraging clinical and informatics background and a deep understanding of clinical workflows, this position will help own and advance AI portfolio, including ML model governance, GenAI tools, EPIC integrated-AI tools and development of new clinical AI solutions. Through product leadership and clinical judgment, this position will ensure AI tools are safe, trusted, and embedded effectively into care delivery. Essential Job Statements Clinical AI Product Ownership Act as the product owner for a subset of Epic-integrated AI tools, including predictive models and GenAI-enabled workflows. Define clinical intent, success metrics, and guardrails for AI products in partnership with clinicians and operational leaders. Translate clinical needs into clear product requirements and acceptance criteria. Epic ML & GenAI Governance Lead governance activities for assigned Epic ML models and GenAI tools, including: Clinical appropriateness and safety review Monitoring of performance, drift, and unintended consequences Documentation for approvals, audits, and renewals Serve as a clinical voice in enterprise AI governance forums. Partner with compliance, privacy, and legal teams to ensure responsible AI use. Development of New Clinical Models Identify opportunities for new clinical ML models based on workflow gaps, quality metrics, or operational pain points. Collaborate with AI engineering team on: Feature selection and clinical logic Model validation and interpretation Defining deployment and monitoring plans Support pilots and phased rollouts within Epic workflows. Adoption, Change Management & Value Realization: Partner with clinical champions to drive adoption and trust. Lead training, communication, and feedback efforts for assigned products. Track outcomes including quality, efficiency, clinician experience, and equity. Present insights and recommendations to product and clinical leadership. Patient Population: N/A

Requirements

5+ years of experience in clinical informatics, healthcare IT, or analytics, preferably within an academic health system.
Demonstrated experience working with Epic EHR, including clinical workflows and decision support.
Experience participating in or supporting AI/ML or advanced analytics initiatives.
Strong written and verbal communication skills with clinical and technical audiences.
Ability to own multiple AI use cases or models end-to-end with limited supervision.
Independently lead clinical discussions and governance reviews.
Ability to proactively identify improvements and new opportunities.
Mentor junior team members or informatics colleagues as needed.

Nice To Haves

Clinical degree or advanced certification in Clinical Informatics, Health Informatics, or related discipline.
Experience with Epic Cognitive Computing or Epic-integrated predictive models.
Familiarity with GenAI tools in clinical settings.
Exposure to AI/ML governance, quality, or safety review processes.
Prior experience translating clinical workflows into technical or product requirements.
Interest in product management career progression.
Displays intellectual curiosity and integrity.
Combination of education and experience in lieu of a degree.

Responsibilities

Act as the product owner for a subset of Epic-integrated AI tools, including predictive models and GenAI-enabled workflows.
Define clinical intent, success metrics, and guardrails for AI products in partnership with clinicians and operational leaders.
Translate clinical needs into clear product requirements and acceptance criteria.
Lead governance activities for assigned Epic ML models and GenAI tools, including: Clinical appropriateness and safety review Monitoring of performance, drift, and unintended consequences Documentation for approvals, audits, and renewals
Serve as a clinical voice in enterprise AI governance forums.
Partner with compliance, privacy, and legal teams to ensure responsible AI use.
Identify opportunities for new clinical ML models based on workflow gaps, quality metrics, or operational pain points.
Collaborate with AI engineering team on: Feature selection and clinical logic Model validation and interpretation Defining deployment and monitoring plans Support pilots and phased rollouts within Epic workflows.
Partner with clinical champions to drive adoption and trust.
Lead training, communication, and feedback efforts for assigned products.
Track outcomes including quality, efficiency, clinician experience, and equity.
Present insights and recommendations to product and clinical leadership.