Learning Facilitator, OMAIB, Questrom School of Business

LEARNING FACILITATOR, OMAIB, Questrom School of Business

Location: Boston, MA, United States
Job Type: Full-Time/Regular
Posted Date: 6/23/2026
Salary Grade: $86,000.00-$88,000.00

Boston University's Questrom School of Business is launching the Online MS in AI in Business (AIB) program in Fall 2026. Designed for a global community of learners, the program prepares professionals to lead in an AI-enabled business environment through a curriculum focused on responsible AI, innovation, strategy, and leadership.

The AIB curriculum is structured across four rigorous graduate modules ('Mods'), each providing 8 graduate credits, a non-credit orientation module (Mod
0), and an optional bootcamp experience:

• Bootcamp
• Mod 0: AIB Launch
• Mod 1: Foundations
  - Minimal Fluency in Responsible AI in Business
• Mod 2: Improvement
  - Redesigning Business Processes and Workflows
• Mod 3: Innovation
  - Creating New Sources of Value with AI
• Mod 4: Governance
  - Accountability, Ethics, and Sustainable AI Strategy

The Learning Coach supports the Bootcamp, Mod 0, and Mod 1 learner experiences. This role is central to delivering a high-quality, student-centered online learning experience and represents a reimagined approach to learner support in an AI-enabled educational environment. The Learning Coach serves as a guide, coach, and strategic thought partner who helps learners develop critical thinking, responsible AI practices, and executive-level judgment.

• Support learners in developing discernment around when and how to appropriately use AI tools.
• Critically evaluating and interrogating AI-generated outputs.
• Recognizing bias, hallucinations, and limitations in AI systems.
• Avoiding cognitive over-reliance on AI technologies.
• Developing responsible and effective AI-enabled workflows.

• Guide learners in strengthening strategic and executive-level thinking by challenging superficial reasoning and assumptions.
• Introduce contextual nuance and business judgment.
• Encourage deeper analysis and synthesis.
• Facilitate complex problem-solving discussions.
• Model effective decision-making in ambiguous environments.

• Reinforce principles of responsible AI and professional integrity by supporting ethical reasoning and accountability.
• Model responsible AI-enabled leadership.
• Address governance, fairness, and bias considerations.
• Intervene thoughtfully in ambiguous ethical situations.

• Encourage confidence and professional growth.
• Support executive communication and collaboration skills.
• Help learners connect course concepts to real-world leadership challenges.
• Reinforce professional norms and leadership behaviors in a global environment.

• Provide timely academic support to a large and globally distributed student population.
• Respond to learner questions and concerns in alignment with Questrom's student-centered culture.
• Hold regular online office hours for individual learners and teams.
• Participate in and/or lead module-wide workshops and support sessions as needed.
• Monitor and engage in learner discussion forums and collaborative learning spaces.
• Support learners in effectively and responsibly using AI tools within coursework and business contexts.
• Encourage higher-order thinking, strategic reasoning, and reflective learning practices.
• Propose and implement initiatives to enhance learner engagement and the overall student experience.
• Collaborate with faculty and program teams to ensure effective course delivery.
• Grade assignments and assessments using established rubrics and program standards.
• Provide timely, detailed, and actionable feedback to learners.
• Support end-of-module grading and learner performance evaluations.
• Contribute to daily academic operations including grade publishing, assignment tracking, late submission management, and exceptions handling.
• Maintain consistency, fairness, and integrity in learner assessment practices.
• Identify and report course delivery issues, enhancement opportunities, and operational improvements.
• Contribute feedback and recommendations to support continuous improvement of the learner experience.
• Participate in weekend on-call support rotations as needed.
• Maintain updates in project management and operational tracking systems.
• Partner with the Student Success team in handling edge cases as and when required.
• Collaborate effectively with faculty, instructional designers, student success specialists, and other cross-functional teams.
• Perform additional duties in support of learner success and program delivery.

• Master's degree required.
• Strong familiarity with AI use cases and emerging trends across industries.
• Familiarity with core business disciplines such as leadership, strategy, operations, finance, ethics, innovation, and data analysis.
• Strong interest in and foundational understanding of AI and its applications in business.
• Minimum of five (5) years of experience in teaching, coaching,…