"Manager, AI Enablement – Information Technology"

Job Details

NYU Abu Dhabi is pioneering a new model of higher education for a global world, dedicated to excellence in teaching and research and to advancing cooperation and progress on humanity’s shared challenges.

Drawing on the strengths of the NYU global network, it offers an outstanding liberal arts and sciences education to students from the United Arab Emirates, the United States, and around the world, with a distinctive focus on intercultural understanding and leadership. It supports innovative research and graduate education programs that push forward the frontiers of knowledge and respond in powerful and interdisciplinary ways to vital global and local challenges.

Position Summary

UAE nationals are encouraged to apply

New York University Abu Dhabi (NYUAD) seeks to appoint a Manager, AI Enablement.

The Manager, AI Enablement is a pivotal inaugural role within NYUAD Information Technology (IT) focused on empowering the university community to leverage the transformative power of Artificial Intelligence (AI) to achieve institutional goals related to efficiency, effectiveness, and innovation. This role serves as the primary conduit between university departments and individual contributors and the technical teams responsible for delivering AI solutions, whether through the NYUAD IT development of custom AI tools or the integration of market-ready enterprise AI solutions.

The Manager, AI Enablement will work directly with faculty, researchers, and administrative staff to identify their core academic, research or business needs and drivers, and then advise on how AI can be effectively integrated into their workflows and processes. A key aspect of this role is to be a hands-on partner, actively facilitating the conceptualization and development of AI-powered business process solutions. By enabling the seamless adoption of these tools, this role ultimately empowers users to enhance their daily operations and unlock new possibilities across teaching, research, and administration.

Additionally, the Manager, AI Enablement will support instruction led AI learning for external stakeholders through NYUAD Executive Education and internal stakeholders through HR, Learning and Organizational Development.

Key Responsibilities:

• AI Opportunity Assessment & Needs Discovery
• Proactively engages with academic departments, research centers, administrative departments, and individual contributors to analyze their workflows, operational challenges, and strategic objectives. Identifies high-impact opportunities where AI can significantly enhance efficiency, improve decision-making, or unlock new capabilities that align with academic, research, or business needs and drivers
• Hands-On AI Solution Design & Functional Requirements
• Collaborates directly with departmental stakeholders and individual contributors to co-create high-level conceptual designs and detailed functional requirements for AI-driven solutions. Translates complex business challenges into clear use cases and actionable specifications, ensuring proposed solutions are technically feasible, ethically sound, and directly address identified needs
• AI Learning & Professional Development Support
• Supports instruction-led AI learning initiatives for both internal and external stakeholders. Collaborates with NYUAD Executive Education to facilitate AI learning for external audiences, and partners with HR, Learning and Organizational Development to enhance AI literacy and capabilities for internal staff and faculty
• Cross-Pillar AI Solution Orchestration & Integration
• Serves as the primary liaison and orchestrator for the end-to-end delivery of AI solutions, coordinating efforts across internal IT teams and/or external vendors. Manages stakeholder expectations to ensure seamless integration and deployment of both custom and market-ready AI solutions
• AI Solution Adoption & Value Realization
• Champions the successful adoption of new AI-powered tools and processes by developing and executing user enablement strategies. Monitors solution usage, gathers feedback, and tracks key performance indicators (KPIs) to demonstrate achieved business value and return on investment (ROI), maximizing the impact of AI investments
• AI Portfolio Contribution & Demand Management
• Actively contributes to the overall IT demand management process. Develops initial business cases for proposed AI initiatives, including preliminary cost-benefit analyses, and provides critical input into IT prioritization discussions for resource allocation and delivery across the IT organization

Required Education:

• Bachelor’s degree in Business, Information Systems, Computer Science, Data Science, or a closely related field

Preferred Education:

• Master’s degree in Business Administration (MBA), Data Science, or a related technology management field

Required Experience:

• Strong understanding of AI/ML concepts, capabilities, and key technologies (e.g., Generative AI, Predictive Analytics, Natural Language Processing, Computer Vision, Robotic Process Automation)
• Exceptional business acumen and a strong ability to understand, analyze, and map complex business processes across diverse functional areas (e.g., Finance, HR, Student services, Research administration)
• Excellent communication, presentation, and facilitation skills, with the ability to articulate complex technical concepts clearly to non-technical audiences and business needs to technical teams
• Superior relationship-building and stakeholder management skills, with the ability to influence and gain consensus across various levels of an organization
• Strong analytical and problem-solving skills, with a data-driven approach to identifying opportunities and measuring impact
• Ability to work hands-on with departmental teams to design future-state workflows and solutions

Preferred Experience:

• Certifications in AI/ML platforms (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer)
• Certifications in business analysis (e.g., CBAP) or project management (e.g., PMP, CSM)
• Familiarity with enterprise application ecosystems (e.g., ERP, SIS, LMS, CRM) and their integration points
• Basic understanding of data engineering concepts related to AI data pipelines
• Experience with cloud platforms (e.g., AWS, Azure, GCP) where AI services are often hosted
• Demonstrated ability to innovate and adapt to rapidly evolving AI technologies and market trends
• Experience in developing compelling business cases for technology investments, including preliminary ROI analysis