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Assistant Director of Academics
  • Job Number: 25379
  • Functional Area: Administration
  • Department: Schwarzman College of Computing
  • School Area: Schwarzman College of Computing
  • Pay Range Minimum: $102,350
  • Pay Range Maximum: $138,700
  • Employment Type: Full-time (Hybrid)
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule: Monday-Friday 8 Hours a Day
  • Pay Grade: 10


Posting Description

ASSISTANT DIRECTOR OF ACADEMICS, Schwarzman College of Computing (SCC), works closely with the Deputy Dean and Dean to manage complex projects that drive the success of strategic academic initiatives. In collaboration with SCC resource development and communication teams, builds and maintains strong relationships for the Deputy Dean and Dean with key alumni, supporters, Common Ground leaders, and students through regular interactions and events. This role oversees end-to-end partnership coordination, student support, academic scheduling, faculty engagement, financial administration, and logistics across all stages of the program. Responsibilities also include content development for programs such as Expanding Horizons, as well as managing computing degree collaborations across MIT, as well as for the administration of SCC fellowships such as those with Apple, Google, Amazon, and MBZUAI. The Assistant Director additionally supports the College’s partnerships in professional and executive education, including Sloan-SCC joint programs and custom offerings of the MicroMasters, potentially in conjunction with executive education programs. Serving as a key liaison, the Assistant Director supports the Deputy Dean and Dean in representing the College to internal and external constituencies.

The full job description is available here: https://computing.mit.edu/assistant-director/  

Job Requirements

REQUIRED: Bachelor’s degree and a minimum of five years of administration-related experience; experience with SAP, Word, Excel, PowerPoint, and on-line calendar software; willingness to adapt to and learn new systems as needed; working knowledge of data science and statistics terms and understanding value of these topics to both academic and business worlds. PREFERRED: Experience in academic administration or student services.

12/18/2025