Position Summary:

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

Reporting to the Director of Operations for the Technology Opportunities and Ventures (TOV) Office, the Program Manager for AI &Compliance will lead the business-side strategy, commercialization, training, and compliance oversight of AI powered solutions. This role is embedded within the business and partners closely with technology teams, legal, finance, and other stakeholders to ensure AI solutions are practical, compliant, and aligned with TOVs commercial objectives. It spans four core verticals:

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:

1. 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

2. Commercialization & Partnerships

• 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 agents based on feedback and results.
• Partner with MCIT on architecture, security, integrations, production deployment, and long-term support, ensuring solutions follow institutional technology-governance requirements.
• Coordinate the business side planning of AI agent development projects from requirements gathering through testing and production. Assemble cross functional teams (including business process owners, experience leads, and technical colleagues), assign tasks, monitor progress, and manage vendor relationships.
• Define and track key performance indicators (KPIs) for agent effectiveness, user adoption, user satisfaction, and operational efficiency. Maintain a dashboard that reports monthly usage statistics and target outcomes (e.g., 90% utilization) for TOV leadership and use data to inform improvement priorities.
• Manage a regular cadence for enhancements: facilitate user feedback sessions, coordinate update reviews with relevant stakeholders (business leads, compliance, and technical teams), and ensure updates are documented and deployed at scheduled interval

4. Compliance & Governance

• Serve as the primary liaison for AI program compliance across Finance, ensuring all activities follow NYU patent policies, data privacy rules, and other institutional requirements.
• Support monitoring of licensee diligence and contractual obligations; maintain accurate records in the Sophia database.
• Facilitate regular status meetings, prepare and present program updates, and maintain comprehensive documentation of program activities.

5. Collaboration & Stakeholder Management

• Maintain open dialogue with the Delivery Leada role focused on overall project execution, timelines, and stakeholder coordinationlinkedin.comto align product delivery timelines and mitigate risks.
• Lead analytics discussions to measure experience success metrics with experience leads, operational/business leads, product managers, and technology teams; identify improvement opportunities grounded in quantitative data

6. Additional responsibilities as assigned.

Minimum Qualifications:

To qualify you must have a

• Demonstrated hands-on experience designing, building, configuring, testing, and improving AI agents, workflow automations, or other AI-enabled business solutions.
• Ability to translate business and operational requirements into functional AI workflows, prompts, knowledge sources, decision logic, validation rules, and structured outputs.
• Experience developing prototypes and business solutions using generative AI, low-code, no-code, or workflow-development platforms.
• Demonstrated ability to work effectively within enterprise technology-governance structures and partner with technical teams on security, architecture, integrations, and production deployment.Requires Bachelor's degree or an equivalent combination of education and experience.
• Familiarity with intellectual property protection and contracts.
• Excellent written and verbal communication skills
• A strong relationship builder and a good team player.
• Detailed and highly organized with initiative, drive and superior time management skills.
• Ability to work independently, set priorities, manage multiple tasks, and meet deadlines.
• Demonstrated commitment to outstanding customer service.
• Considerable experience organizing and processing complex information
• Strong project management skills.
• Excellent customer service skills.

Preferred Qualifications:

• 5+ years of experience in AI program management, commercialization, or compliance.
• Ability to review and interpret various types of contracts and agreement terms.
• Familiarity with cloud-based platforms (e.g., Azure AI, Databricks).
• PMP preferred.

Qualified candidates must be able to effectively communicate with all levels of the organization.