Brown University — Director of Enrollment Planning and Analysis

Job Description:

About Brown:
Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and staff are driven by the idea that their work will have an impact in the world.

Brown University offers a flexible work/life balance; summer hours, winter break and a comprehensive Benefits package including time off, annual paid holidays; benefits offerings including health, dental, vision, tuition assistance, retirement, wellness, employee discounts and more.  To learn about Brown University’s benefits, visit the University Human Resources web page here for further information.

About the Opportunity:
To advance collaboration and consistency across its work on student recruitment, financial aid and student records, Brown University has established a new Enrollment Division that will include its College Admission, Financial Aid and Registrar offices.

We seek to fill a new position, the Director of Enrollment Planning and Analysis. The Director is both principal data analyst and strategic adviser to the Associate Provost for Enrollment and assumes leadership and full functional responsibility for the planning, development, implementation, evaluation, and management of the data-related needs of the Enrollment Division. The Director will collaborate closely with partners across the University, including the Office of Institutional Research and Office of Information Technology, as well as staff in the Enrollment Division such as the Registrar’s Office, Office of Financial Aid, Office of College Admission, enrollment systems team, and admissions communications team.  The Director applies advanced knowledge, skills, and understanding of Brown’s institutional goals to research, gather, analyze, and summarize complex and sensitive data related to enrollment in creative and effective ways.

The Director will develop a strategy for enrollment planning and analysis for all undergraduate and graduate academic programs at Brown University, and is responsible for building data models and reports to illustrate historic trends and predict future results. Using expert-level skills in data science, the incumbent will select methods, systems, techniques, and evaluation criteria for obtaining results, and work on complex issues requiring in-depth evaluation of variable factors. Examples of high-priority data models and projects include:

  • Managing a predictive enrollment model to forecast enrollment for the upcoming one or two semesters based on individual student attributes and historic probabilities;
  • Developing a long-term enrollment model to predict the number of students enrolled over the next three to five years based on a set of reasonable assumptions;
  • Building admissions models illustrating probabilities for prospects to apply and yield to inform marketing, outreach, and admissions decisions; and
  • Analyzing admitted and enrolled student data to predict financial aid needs based on University policy and known or assumed student attributes.

The incumbent will also provide work direction to professional staff within the Enrollment Division in planning, developing, organizing, implementing, coordinating, and evaluating cross-functional department projects and operations related to enrollment data and information systems.

Education and Experience

  • Master’s degree and 7+ years of experience in data science and analysis for higher education, or equivalent combination of education and experience. A masters or doctoral degree with a strong computational emphasis is preferred.
  • Demonstrated advanced-level statistical knowledge along with experience in data collection and analysis techniques and software platforms.
  • Strong ability to synthesize and summarize complex information in formats appropriate to various audiences.
  • Supervisory experience preferred.
  • Experience with querying languages, such as SQL, used for accessing and manipulating data from databases.
  • Experience with programming languages such as, Python, R, MATLAB, C++, etc.
  • Experience with data visualization tools such as PowerBi, Tableau, Dunbas BI, JupyeR, etc.
  • Experience with statistical modeling and classical machine learning techniques (linear regression, logistic regression, decision trees, etc.)
  • Experience with relational databases and data warehouses.
  • Ability to communicate complex, analytical concepts to non-technical, business stakeholders.
  • High professional standards with the ability to manage competing requirements in a diverse user population.
  • Excellent interpersonal, oral, and written communication skills with strong analytical ability.
  • Versatile, enthusiastic and eager to learn new skills.
  • Possess a willingness and ability to support a diverse and inclusive environment.
  • Experience aligning data definitions with peer standards.
  • Experience with the following Brown data systems a plus: Slate, Banner, Cognos, Tableau.
  • Experience working with undergraduate and/or graduate student enrollment data preferred.
  • Experience in academia or an academic organization.

Job Competencies

  • Advanced skills in data retrieval using Business Intelligence reporting tools such as Cognos.
  • Advanced quantitative skills in data analysis; formal statistical training desirable.
  • Expertise in presenting information, and the ability to articulate complex statistical issues to non-technical audiences, verbally and in writing.
  • Executive-level presentation and communication skills.
  • Project management and change management skills
  • Expertise in database design practices, desktop reporting tools and information display tools.
  • Demonstrated aptitude for broad, critical thinking and high-level problem solving.
  • Ability to work with flexibility and tact across broad constituencies.
  • Ability to work simultaneously on multiple projects
  • Strong management and project development skills, ability to set priorities, meet deadlines and work closely with peers.
  • Attention to detail, judgment, and discretion.
  • Must recognize requests that are time sensitive, politically delicate, or involve confidentiality concerns.

Additional Information:
Applicants are asked to include a resume and cover letter.

This is a hybrid position requiring some work on Brown’s campus in Providence, but with flexibility to work remotely frequently.   Brown is not able to provide visa sponsorship for this position.

All offers of employment are contingent upon successful completion of a background check.

Recruiting Start Date:

Job Posting Title:
Director of Enrollment Planning and Analysis

Enrollment Leadership

Grade 12

Worker Type:

Worker Sub-Type:

Time Type:
Full time

Scheduled Weekly Hours:

Position Classification:
Hybrid Eligible

Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

Vaccination Requirements:
In order to maintain 90% or greater universal vaccination rates on campus, all newly hired employees at Brown University must receive the final dose of the COVID-19 vaccine before they begin work, unless they are approved for a medical or religious exemption. All employees must also receive a COVID-19 booster within thirty (30) days of becoming eligible. For more information, please visit the Healthy Brown site.

Still Have Questions?
If you have any questions you may contact

EEO Statement:
Brown University is an E-Verify Employer.

As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies.

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