Logo
New York University

Associate Vice President, Enrollment Data Strategy & Institutional Effectiveness

New York University, New York, New York, us, 10261

Save Job

Associate Vice President, Enrollment Data Strategy & Institutional Effectiveness

Posting Number: 2025-15121

Location: US-NY-New York

Hybrid Remote Work Classification: Hybrid: 60% to 80% Onsite

Department: Office of Student Success, Research and Experience

School/Division: University Enrollment Management (WS1960)

Compensation Grade: Band 55

Position Summary The Associate Vice President (AVP) for Enrollment Data Strategy and Institutional Effectiveness is the lead data strategist for Global Enrollment Management and Student Success (GEMSS) at NYU. The AVP oversees teams responsible for data management, analytics and reporting including Institutional Research, Data Management & Governance, and Enrollment & Student Success Analytics. The AVP ensures alignment of enrollment and institutional data priorities within the university's Enterprise Information Management (EIM) framework, assesses and maintains data quality standards and process excellence, and adheres to NYU's data security and compliance protocols.

This position works alongside campus leaders to foster a collaborative culture of data knowledge and transparency to promote evidence-based decision-making for achieving enrollment and student flourishing goals, external reporting requirements, and institutional effectiveness outcomes. This inaugural and pivotal role will also work closely with GEMSS senior leaders and campus partners to implement GEMSS's data strategy, serving as custodian of NYU's authoritative data and student data domains.

Qualifications Required Education

Master's Degree in a quantitative field such as Data Science, Business Analytics, Statistics, Computer Science, or a related discipline.

Required Experience

10+ years in data management, institutional research, business intelligence, and analytics, preferably within a complex higher education or large non-profit environment. Must include demonstrated experience in developing strategic data infrastructure and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards.

5+ years of senior‑level management experience leading large, diverse data teams and integrating functions such as governance, institutional research, and business intelligence.

Preferred Experience

Experienced presenter and/or thought leader in relevant professional associations.

Required Skills, Knowledge and Abilities

Proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards.

Exceptional strategic planning, organizational, and presentation skills, with a track record of effectively communicating complex data insights and recommendations to executive leadership.

Key Responsibilities Strategic Leadership, Collaboration, and Compliance

Serve as the GEMSS representative and primary student data steward in strategic meetings with key campus partners, including the Offices of the President and Provost, Information Technology, Finance, Schools, University Life, and NYU's global campuses.

In collaboration with the GEMSS Strategic Data Council, develop and implement a comprehensive strategic data plan that governs the lifecycle of student enrollment and authoritative institutional data.

Lead data advocacy efforts by engaging with senior and executive leaders to provide high-level insights and recommendations that support strategic priorities for enrollment management, student success, and competitive institutional positioning.

Ensure data integrity and compliance through continual assessment and monitoring of GEMSS‑managed data assets to support timely interventions and adherence to NYU's data security protocols.

Process & Operational Excellence

Lead the development and stewardship of student data infrastructure, partnering with IT/EIM to ensure the creation and maintenance of reliable, efficient, and sustainable data systems and processes that reflect best practices.

Facilitate data alignment across domains to integrate student data seamlessly with broader institutional data domains (e.g., external reporting, finance, academic planning).

Drive scalable data solutions and governance by coordinating with IT/EIM to advocate for advanced data warehousing, governance, and analytics tools.

Optimize operational data readiness by ensuring the GEMSS operational data pipeline (marketing, admissions, financial aid, records) is optimized for analytics.

Data Management, Reporting & Analytics Capacity Building

Oversee the integration, management, and operational needs of GEMSS data teams (Institutional Research, Data Management & Governance, and Enrollment & Student Success Insights).

Develop advanced modeling and forecasting capabilities, including oversight of sophisticated analytic and predictive models.

Enhance capacity for knowledge sharing, storytelling, and evidence-based decision-making through user-friendly platforms for internal and external data insights.

Strengthen a data‑driven culture by implementing communities of practice and other initiatives within GEMSS.

Promote professional development and a strong team culture among GEMSS data teams.

Additional Information In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $250,000.00 to USD $300,000.00. New York University considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, and market and organizational considerations when extending an offer.

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040.

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.

#J-18808-Ljbffr