The Research Alliance for New York City Schools, an independent research center housed at New York University, invites applications for a full-time Data Manager. The Data Manager will serve as a crucial center of knowledge about our extensive store of NYC education data and act as a champion for opportunities to make rigorous use of these data with both internal and external researchers. The Data Manager will collaborate with researchers to define and address their needs for data from our store, create new and innovative applications and tools for data analysis and visualizations, and work across the organization to improve our code base, documentation, and reporting capabilities. The person in this role will also serve a key point of contact with the NYC Department of Education (DOE) and other external partners. The Data Manager will work out of our office on the NYU campus and report to the Executive Director.

About the Research Alliance for New York City Schools

The Research Alliance’s mission is to conduct rigorous studies on topics that matter to New York City’s public schools. We strive to advance equity and excellence in education by providing evidence about policies and practices that promote students’ development and academic success. Our work relies on access to longitudinal data from the NYC DOE, the City University of New York and other sources, coupled with our strong relationships with educators and policymakers. Our work environment provides staff with a wide range of learning opportunities and experiences.

Roles & Responsibilities

The Data Manager’s work will be central to the strategic development and execution of research activities conducted by internal Research Alliance staff and a growing pool of external collaborators. For the foreseeable future, the role also includes the technical and logistical maintenance of our extensive store of NYC data. As the Research Alliance expands our portfolio of projects and funding, the position will include supervision of a Data Production and Administration Specialist who will take on these essential technical and logistical duties. The Data Manager’s responsibilities include:

  • In collaboration with the Research Alliance Leadership Team and Research Associates, develop and execute a long-term strategic plan to develop additional data sources, engage partners, and advance new and innovative applications and uses of our data store.


  • Maintain the data store and improve on our internal processes for making data sets available to support research by Research Alliance staff and collaborators.
  • Serve as the main data liaison to the NYC DOE (e.g., determine timelines, schedule data transfers, coordinate processing and documentation).
  • Refine and execute existing SAS programs, macros, templates, and utilities that produce standard data store structures.
  • Oversee and refine data security protocols and procedures consistent with federal, state, city and university regulations and best practices, including all data transfer, storage and communication channels, for all users.
  • Develop and implement innovative programming solutions, analysis and production strategies, and data visualization tools to improve organization-wide data cleaning, analyses, and reporting.
  • Evaluate technical aspects of external data requests and collaborate with external researchers to manage data access and security.
  • Manage and monitor server hardware and software in collaboration with NYU’s IT team.
  • Oversee SAS administration, in coordination with NYU IT, including adding new users and updating licenses.
  • As time and expertise allow, lead workshops and training sessions on SAS, related computing technologies, and data visualization tools and strategies.

Experience & Qualifications

  • Master’s Degree in a quantitative analytic or social science discipline (e.g., Data Science, Economics, Statistics, Sociology, Education) plus two or more years of relevant experience.
  • Proficiency with a data processing and statistical analysis software platform such as SAS, Stata, or R is required. Python and VBA a plus.
  • Commitment and capability to become highly proficient in SAS.
  • Demonstrated ability to work independently, manage timelines, and delegate tasks.
  • Ability to balance multiple priorities, communicate goals, and build consensus to work collaboratively within and across departments.
  • Excellent written and verbal communication skills; detail oriented.
  • Commitment to informing NYC education research, policy and practice.


  • $70,000 annually with a generous benefits package, including tuition remission (more information here: 2019 Benefits Guide).

Application Process

  • Submit resume or curriculum vitae and cover letter discussing interest in the position and qualifications.
  • Provide one coding example, preferably in SAS. If you are proficient in SPSS, STATA, or R, please provide samples for this as well. Please provide your programming example files in a pdf format only.
  • References will be requested after initial interview.
  • Application materials must be submitted through Interfolio, NYU’s online application portal.
  • Review of applications will begin immediately and continue until filled. We encourage applicants to apply as soon as possible. The preferable start date is July 16, 2019.