Temporary Course Developer - AI for Management

Position: Temporary Course Developer- AI for Management

Location: Waltham, MA

Division: School of Business and Economics, Brandeis University

Compensation: $8,000 (Approx. 100 hours over 6 weeks)

Job Summary:

The School of Business and Economics at Brandeis University is seeking an innovative and results-driven Course Developer to design AI for Management, a foundational 4-credit course for the MBA program.

This role is responsible for developing a curriculum that prepares MBA students to lead responsible AI adoption, utilize AI in their own workflows, and contribute to the design of AI-enabled products and processes.

The ideal candidate brings a strong blend of instructional design expertise, deep knowledge of contemporary and agentic AI systems, and practical enterprise management experience.

Key Responsibilities:

Curriculum Design & Syllabi Development: Build a comprehensive 4-credit syllabus, session plans, and assignment rubrics for a twice-weekly, 1.5-hour lecture schedule.

Course Material Creation: Develop hands-on lab exercises, source-grounded research prompts, case studies, and framework guides focused on agentic AI, governance, and workflow redesign.

Assessment Framework: Design robust evaluation methods that measure both theoretical comprehension and practical application (e.g., specification-driven app building, enterprise implementation proposals).

LMS Integration: Author and organize all learning modules, reading lists, and interactive elements within Brandeis University’s Learning Management System (LMS).

Qualifications:

Education: Master’s degree or Ph.D. in Business, Information Systems, Computer Science, Technology Management, or a related field.

Domain Expertise: Deep understanding of contemporary AI platforms, Large Language Models (LLMs), evaluation metrics, process control mechanisms, and agentic AI concepts (tool-use, multi-agent systems, proactive/event-triggered automation).

Teaching / L&D Experience: Demonstrated experience in graduate-level teaching, executive education, or senior-level corporate learning and development.

Technical Fluency: Ability to bridge high-level managerial strategy with technical execution (e.g., prompt engineering, low-code/specification-driven app building, workflow automation).

Preferred:

• Industry experience leading AI adoption, product management, or digital transformation within an enterprise setting.
• Familiarity with MBA curriculum standards and case-method instruction.

Pay Range Disclosure

The University's 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 candidate's work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

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").