Director, Enrollment Analytics & AI Strategy

Johns Hopkins University; Baltimore (MD); Hybrid; USD 98,200 - 171,900; Full time

Job summary

A prestigious university in Baltimore is seeking a Director, Enrollment Analytics, Planning and AI to lead data-driven initiatives for enrollment management. This role entails conducting advanced data analytics, providing strategic insights, and overseeing reporting efforts to inform admissions and financial aid strategies. Applicants should have a Bachelor's degree and at least five years of experience in related fields, with strong proficiency in data analysis tools, including SQL, Python, and data visualization software. The position offers a hybrid work model and a competitive salary.

Qualifications

• 5 years of experience in healthcare IT, analytics, software development or data management.
• Experience within higher education environment is desirable.
• Proficiency in BI tools such as Tableau, Power BI, or Epic Cogito.

Responsibilities

• Conduct in-depth analysis of admissions and financial aid data.
• Develop predictive models for application volume and acceptance rates.
• Provide data-driven insights to inform admissions strategies.
• Manage data quality and integrity for reports to stakeholders.
• Lead and mentor junior data analysts.

Skills

Data analysis tools proficiency

SQL

Python

R

Data visualization (Tableau, Power BI)

Statistical methods

Project management

Interpersonal communication

Analytical skills

Education

Bachelor’s Degree in related field

Masters’ Degree preferred

Tools

Tableau

Power BI

Job description

A prestigious university in Baltimore is seeking a Director, Enrollment Analytics, Planning and AI to lead data-driven initiatives for enrollment management. This role entails conducting advanced data analytics, providing strategic insights, and overseeing reporting efforts to inform admissions and financial aid strategies. Applicants should have a Bachelor's degree and at least five years of experience in related fields, with strong proficiency in data analysis tools, including SQL, Python, and data visualization software. The position offers a hybrid work model and a competitive salary.