Binghamton University-posted 3 months ago
Full-time
Binghamton, NY
1,001-5,000 employees
Educational Services

Binghamton University places immense value in the use of institutional data in support of the University's short and long-term decision-making regarding policy, strategic planning, and resource allocation. Reporting to the Chief Financial Officer, the Associate Vice President for Institutional Research will have a highly visible role within the University's analytics community and be instrumental in leveraging Binghamton's data assets to drive institutional success and operational efficiency. The AVP will formulate university policy, design and execute data and analytics strategies, oversee governance practices, and build relationships across academic and administrative units to foster a collaborative, data-informed culture that directly supports strategic planning, resource allocation and program and student success. Responsibilities include establishing data and analytics as a core institutional asset, defining the vision for data strategy, and implementing effective data and analytics models and processes to support strategic decision-making. The AVP will champion data literacy across the university, lead data governance efforts to ensure the integrity of data assets and provide innovative insights that align institutional goals with actionable outcomes.

  • Establish data and analytics as a core institutional asset.
  • Define the vision for data strategy.
  • Implement effective data and analytics models and processes to support strategic decision-making.
  • Champion data literacy across the university.
  • Lead data governance efforts to ensure the integrity of data assets.
  • Manage and be responsible for working with stakeholders across the University on institutional research and analytics consulting projects.
  • Develop and lead an analytics portfolio strategy and technical infrastructure to support effective communication.
  • Curate and manage the portfolio of analytics projects, ensuring projects remain within scope and within established timelines.
  • Design, conduct, analyze, and present comprehensive institutional research studies using advanced statistical analysis, predictive modeling, and data visualization.
  • Serve as a leader for the University on analytics best practices and methodologies.
  • Oversee the reporting function of OIR to ensure compliance with internal and external requests for university data.
  • Provide effective leadership and management of OIR staff.
  • Master's degree in quantitative discipline such as social sciences, mathematics, economics, data science, education, business, statistics or a related field.
  • Minimum of seven years of progressively responsible leadership experience within institutional research or a related field in higher education.
  • Proven experience with complex relational databases and advanced data analytics techniques.
  • Expertise with statistical software and query tools.
  • Experience with storytelling through data visualization software (e.g. PowerBI).
  • Understanding of enterprise systems.
  • Experience with data governance programs, ensuring data integrity, accuracy, and compliance.
  • Excellent communication skills including the ability to clearly translate and present complex data findings.
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