About this role
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
Employment Qualifications
Required Education: Master’s degree in Computer Science, Data Science, Biomedical Informatics, or related field.
Preferred Education: Clinical degree or advanced certification in Clinical Informatics, Health Informatics, or related discipline.
Licensing/ Certification
Licensure/Certification Required: N/A
Licensure/Certification Preferred: N/A
Minimum Qualifications
Years and Type of Required Experience: 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.
Preferred: 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.
Other Knowledge, Skills and Abilities Required: 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.
Other Knowledge, Skills and Abilities Preferred: Displays intellectual curiosity and integrity.
Combination of education and experience in lieu of a degree.
Working Conditions: N/A
Physical Requirements
Physical Demands: N/A
Work Position: Sitting
Additional Physical Requirements/ Hazards
Additional Physical Requirements: N/A
Hazards: N/A
Mental/Sensory – Emotional
Mental / Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking
Emotional: Fast pace environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.
Other facts
About VCU Health
We are a strong, passionate team of more than 12,500 who take pride in caring for every person who comes through our doors. We lift each other up so we can provide the very best and safest care to those who need us most. Together. Every day.
With the support of our university, we make up an academic medical center committed to excellence in patient care, innovation and training tomorrow’s health care workforce. We continue to educate, research and evolve – staying on the cutting edge of care.
As a community of innovators, every team member can contribute a spark of ingenuity igniting a force to discover the next cure, hold the next hand, solve the greatest challenges and create the health care of tomorrow.
We foster an atmosphere of respect and welcoming for all communities. We infuse our teams with diverse talent that inspires everyone to contribute openly and freely, maximizing their impact and creating meaningful change for our patients and community.
Join our team and help us create a new kind of patient experience. Join VCU Health.
EEO Statement:
VCU Health System strictly prohibits and does not tolerate discrimination against, or harassment of, team members, applicants, or any other covered persons because of age, race, ethnicity, religion, culture, language, physical or mental disability, socioeconomic status, sex (sexual orientation, gender identity or expression and pregnancy), protected veteran status, marital status, genetic information, or any other protected characteristics under applicable federal, state, or local law.
Pay Transparency Provisions:
VCU Health System complies with the Pay Transparency Provisions.
What you'll do
- The AI Product Manager will own the development and execution of AI capabilities within VCU Health’s clinical product portfolio, acting as the product owner for Epic-integrated AI tools, including defining intent, success metrics, and guardrails in partnership with clinicians. This role also involves leading governance activities for assigned ML models and GenAI tools, ensuring clinical appropriateness, safety, and compliance, while collaborating on the development and deployment of new clinical AI solutions.
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