Adjunct Instructor in Programming for Systems Automation & Data Workflows

Brandeis Universitys Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 115 Programming for Systems Automation & Data Workflows for the Fall-1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.

Course Description: This course teaches programming fundamentals for systems automation data processing and operational task execution. Students build scripts and applications that automate integration tasks manage data flows and support system processes within enterprise contexts.

Core Course Responsibilities Summary

• Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content maintaining consistent communication through weekly announcements and ensuring all instructional activities occur within university-approved digital platforms.

• Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions facilitating weekly academic discourse in forums and maintaining regular availability for student consultation.

• Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

• Professional Conduct and Standards: Requires adherence to university communication protocols the promotion of respectful online netiquette and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

• Required:

  • Masters degree in Computer Science Software Engineering Information Systems Data Engineering or a closely related field

  • Minimum 3 years of professional experience in programming for automation scripting data processing or enterprise systems integration

  • Demonstrated proficiency in programming languages commonly used for automation and data workflows (e.g. Python PowerShell Bash JavaScript)

  • Experience designing automation scripts APIs or data pipeline components within enterprise environments

  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education

  • At least 1 year of teaching or training experience (preferably online/asynchronous)

  • Experience with online instruction

  • Excellent communication and teaching skills in an online learning environment.

• Preferred:

  • Doctorate (PhD or DBA) in Computer Science Software Engineering Information Systems Data Engineering or related field

  • 5 years of experience in software development automation engineering data engineering or platform engineering leadership

  • Professional experience as a Software Engineer Automation Engineer Data Engineer DevOps Engineer or Systems Integration Architect

  • Experience working with workflow orchestration and data pipeline tools (e.g. Airflow Prefect Azure Data Factory AWS Step Functions)

  • Industry certifications such as AWS Developer Associate Azure Developer Associate Certified Kubernetes Application Developer (CKAD) or equivalent

  • Prior online teaching experience at the graduate level

  • Knowledge of global learner personas and culturally responsive pedagogy

  • Familiarity with Moodle LMS and digital authoring tools (e.g. H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins 5/28/2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

The Universitys pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position the candidates work experience and education/training internal peer equity and applicable legal requirements.

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race color ancestry religious creed gender identity and expression national or ethnic origin sex sexual orientation pregnancy age genetic information disability caste military or veteran status or any other category protected by law (also known as membership in a protected class).