NYU Rory Meyers College of Nursing · 1 month ago
Associate Vice President, Enrollment Data Strategy & Institutional Effectiveness
US-NY-New York
Full-time
Hybrid
Director/Executive
$250K/yr - $300K/yr
10+ years expNYU Rory Meyers College of Nursing is seeking an Associate Vice President for Enrollment Data Strategy and Institutional Effectiveness. The AVP will lead data management, analytics, and reporting efforts, ensuring alignment with institutional priorities and promoting a data-informed culture across the university.
Education Management
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
Qualification
Required
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
Demonstrated experience in developing strategic data infrastructure
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
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
Track record of effectively communicating complex data insights and recommendations to executive leadership
Preferred
Experienced presenter and/or thought leader in relevant professional associations
Company
NYU Rory Meyers College of Nursing
At NYU Rory Meyers College of Nursing, we generate knowledge through research in nursing, health, and interdisciplinary science; we educate leaders in nursing to advance healthcare locally and globally; we provide innovative and exemplary healthcare, and we shape the future of nursing through leadership in healthcare policy.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase