Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management. This course focuses on enterprise data lifecycle management, data modeling, integration
workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility. 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: Master’s degree in Data Science, Information Systems, Computer
Science, Data Engineering, Business Analytics, or a closely related field Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management Experience working with analytics tools or programming languages used in applied analytics (e.g.,
Python, R, SQL, Power BI, Tableau) 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 Data Science, Information Systems, Computer
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