Program Manager, AI

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health , the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care.

At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu , and interact with us on Linked In, Glassdoor, Indeed, Facebook, X and Instagram.

We have an exciting opportunity to join our team as a Program Manager, AI.

Training & Adoption:
Develop and deliver training programs for staff and partner business groups to help them understand and use AI powered agents effectively; measure adoption and skills uptake. Support business groups in identifying appropriate use cases and using approved agent-development tools within established institutional guidelines.

Commercialization:
Shape go to market strategies and manage licensing and partnerships with a business lens, while working with technology teams to translate product capabilities into customer value. Translate agent capabilities into clear customer value, develop business cases and market assessments, and coordinate with legal, finance, MCIT, and other technology stakeholders to ensure commercialization plans accurately reflect the products technical capabilities, security requirements, support model, and production-readiness constraints.

AI Agent Stewardship:
Coordinate cross functional teams (business process owners, user experience leads, and technical colleagues) to design, configure, and deploy AI agents that streamline administrative workflows. Translate business requirements into functional agent workflows, prompts, knowledge sources, decision logic, validation steps, and structured outputs. Develop working prototypes and business solutions using institutionally approved platforms, while partnering with MCIT on architecture, cybersecurity, integrations, scalability, production deployment, and long-term technical support.

This role is expected to have the hands-on capability to build AI agents and is not limited to coordinating the work of technical teams or vendors.

Compliance:
Oversee adherence to intellectual property policies, data privacy requirements, and institutional guidelines; serve as the business liaison to legal and compliance teams. Serve as the business liaison to MCIT, Legal, Compliance, Finance, and other oversight functions. Maintain appropriate documentation, testing records, approvals, ownership models, and change controls, and ensure solutions requiring enterprise integration, elevated access, production deployment, or ongoing technical support proceed through the appropriate MCIT review and governance processes.

Job Responsibilities:

• Training & Change Management
• Design and deliver training curricula (e.g., workshops, user guides, webinars) for TOV staff and other business units, ensuring content is accessible to non technical audiences.
• Establish a continuous feedback loop to refine training materials based on learner feedback and new product features.
• Develop a readiness plan for other business groups to tailor and adopt AI agents with minimal configuration; measure training effectiveness by tracking post training adoption and user satisfaction
• Partner with technology and finance teams to develop business cases, market assessments, and go to market strategies for AI enabled products.
• Lead outreach to potential licensees and partners, draft term sheets or amendments in coordination with legal, and manage commercialization pipelines. Use AI tools to monitor commercialization milestones, generate executive level updates, and report on revenue and pipeline metrics

3. AI Agent Development & Program Management

• Design, build, configure, test, and continuously improve AI agents using institutionally approved platforms.
• Translate business requirements into functional workflows, prompts, knowledge sources, decision logic, validation steps, and structured outputs.
• Develop working prototypes, conduct user testing, troubleshoot performance issues, and refine…