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Senior Director, AI Strategy and Enablement
New York University
Application
Details
Posted: 06-Jan-26
Location: New York, New York
Type: Full-time
Internal Number: 281104905
Senior Director, AI Strategy and Enablement
US-NY-New York
Job ID: 2025-15141 Type: NYU IT (WS1170) # of Openings: 1 Category: Technology New York University
Overview
This position is a high-impact strategic leadership role responsible for defining, driving, and governing the university's comprehensive Artificial Intelligence (AI) strategy and roadmap. Serving as a visionary leader with a deep understanding of the unique dynamics of teaching, research, and administrative functions in higher education, act as the principal champion for AI adoption. Establish and lead an AI Center of Excellence, building a high-performing team of technical and business experts to drive the application and successful adoption of AI across the entire university. Act as a key liaison between university units and external vendors, advancing a strategy that strategically balances building robust internal AI capabilities with the leveraging of effective vendor solutions. Collaborate with university partners to ensure the development and implementation of AI is ethical, responsible, and compliant with institutional policies, while also planning and coordinating essential AI training and professional development to meet institutional needs and maximize the value of AI in advancing the priorities of an 'AI University.
Responsibilities
Required Education: Bachelor's Degree in Computer Science, Data Science, Management Information Systems, Higher Education Administration, Technology or related field.
Preferred Education: Master's Degree Data Science, AI/ML, Business Analytics, Higher Education Administration, Computer Science, or related field.
Required Experience: 10+ years of demonstrated success working with, or in higher education, with extensive experience in technology, data, or an AI-related field, or equivalent combination of education and experience. Must include experience working with cross-functional teams, higher education stakeholders from diverse disciplines, a and implementing/leading technology projects, and demonstrated experience in developing and successfully deploying projects across a school/university/campus.
Preferred Experience: Experience with learning analytics and/or student success initiatives. Experience with communications strategies for telling the story of impact. Demonstrated experience of successful change management and project management. Demonstrated experience in leading organizational change and fostering a culture of innovation.
Required Skills, Knowledge and Abilities: Excellent collaboration and interpersonal communication skills. Excellent verbal and written communication skills, including the ability to clearly articulate complex technical concepts to a diverse range of stakeholders, from C-level executives to faculty and students. Ability to build collaborations and consensus through relationship-building. Deep knowledge of technology integration to solve business problems, including leveraging vendor partnerships to rapidly advance solutions. Generative AI Knowledge: Understanding of generative AI technologies, including large language models (LLMs), natural language processing (NLP), and related frameworks (e.g., TensorFlow, PyTorch). Data Strategy: Experience in developing and executing comprehensive data strategies that support AI initiatives, including data governance and management. IT Infrastructure: Familiarity with the platforms and computational infrastructure required for effective GenAI integration in an academic setting (e.g., cloud platforms like AWS, Azure, Google Cloud). Strategic Thinking: Proven ability to create high-level strategy in new and ambiguous areas, aligning GenAI initiatives with the university's mission and goals. Ethical Acumen: A strong commitment to ethical AI practices, with the ability to address issues of bias, transparency, and accountability.
Preferred Skills, Knowledge and Abilities: Ability to work across university units to explore challenges, issues, and concerns and to develop a plan for solutions. Excellent problem-solving skills, analysis of potential solutions, and bringing a project from idea to solution. Strong foundation in machine learning, data science, and AI development, with a track record of implementing successful AI solutions.
Qualifications
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $250,000.00 to USD $290,000.00. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, clinical compensation, or other items.
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/nyugreen.
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply at all levels.
New York University (NYU) is one of the top private universities in the United States, and NYU Tandon School of Engineering traces its roots back to 1854, building on an illustrious past as Brooklyn Poly and the NYU Polytechnic School of Engineering. Our mission is to excel in research, teaching, and entrepreneurship and inspire and educate engineers for the 21st century — backed by an historic commitment of $1 billion to recruit new faculty, fuel groundbreaking basic and applied research in key areas, and expand the Downtown Brooklyn campus. NYU Tandon faculty are world renowned leaders in science and technology, with a strong commitment to research, innovation, and entrepreneurship that make a difference in the world. We lead and have ties to multidisciplinary centers in wireless technology, cybersecurity, urban informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in downtown Brooklyn, and we support three “future lab” business incubators that connect our students and faculty to today’s innovation economy. We are deeply committed to teaching and le...arning, and with NYU's unrivaled global network of campuses, we promote a truly global engineering education.
NYU Tandon is committed to substantially increase the proportion of our faculty from historically underrepresented groups in STEM and we encourage candidates from such groups to apply. We aspire to create a climate where diversity and inclusion are not only appreciated but considered an asset for creativity and innovation, and we seek faculty who have a real passion for a culturally diverse environment. We take pride in our high numbers of female students and students who are the first in their family to go to college. NYU belongs to the Higher Education Recruitment Consortium (HERC), which assists with dual-career searches, and our faculty are supported by a range of work-life balance programs provided by the NYU Office of Work Life