Associate Vice President, Enrollment Data Strategy & Institutional Effectiveness

NYU•New York, NY

1d•$250,000 - $300,000

About The Position

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. GEMSS is dedicated to creating and enhancing an exceptional student experience, ensuring their success from enrollment through graduation across NYU’s global sites and campuses. They accomplish this by aligning their efforts with institutional goals and using data to help the university prioritize its time and financial resources, while informing strategic tuition revenue management and risk mitigation. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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. This includes establishing a framework for prioritizing divisional and institutional needs, improving data quality, transparency, and accessibility, fostering a data-informed culture, and ensuring adherence to NYU’s compliance protocols.
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. Collaborate closely with governing bodies within GEMSS, NYU’s Enterprise Information Management (EIM) framework, and other stakeholders to ensure informed, aligned, and compliant responses.
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), promoting consistency and data integrity institution-wide.
Drive scalable data solutions and governance by coordinating with IT/EIM to advocate for advanced data warehousing, governance, and analytics tools. Ensure long-term sustainability and scalability of the analytics infrastructure through consistent data modeling and enforcement of governance frameworks.
Optimize operational data readiness by ensuring the GEMSS operational data pipeline (marketing, admissions, financial aid, records) is optimized for analytics. Lead efforts to streamline workflows and resolve data quality issues to maintain the highest standards of integrity and reliability for timely reporting and decision support.
Oversee the integration, management, and operational needs of GEMSS data teams (Institutional Research, Data Management & Governance, and Enrollment & Student Success Insights) ensuring strategic and functional alignment to meet divisional goals and institutional priorities.
Develop advanced modeling and forecasting capabilities, including oversight of sophisticated analytic and predictive models, to inform operational and strategic planning, resource allocation, and institutional forecasting.
Enhance capacity for knowledge sharing, storytelling, and evidence-based decision-making. Collaborate with teams and campus partners to co-create user-friendly platforms for internal and external data insights, visualizations, and decision support tools to monitor operational efficiencies, key performance metrics, and public-facing institutional reporting.
Strengthen a data-driven culture by implementing communities of practice and other initiatives within GEMSS, collaborating on enterprise-level efforts to improve data security, accessibility, data literacy, and training. Empower stakeholders across the university to effectively engage with and apply data.
Promote professional development and strong team culture among GEMSS data teams to foster a community of support, best practices, and innovation, where talent is recognized and opportunities for career growth are encouraged.