About The Position

Boston University's Questrom School of Business seeks a Learning Facilitator to support the Mod 2 learner experience in its Online MS in AI in Business (AIB) program. The program is designed for a global community of learners and prepares professionals to lead in an AI-enabled business environment through a curriculum focused on problem-first, tools-second learning, responsible AI, innovation, strategy, and leadership. The Learning Facilitator helps deliver a high-quality, student-centered online learning experience and serves as a guide, coach, and strategic thought partner. The role supports learners in developing critical thinking, responsible AI practices, and executive-level judgment. Working closely with learners, faculty, Student Success, and stakeholder teams, the facilitator supports course delivery, learner engagement, assessment oversight, learner progress, and continuous improvement across the program experience.

Requirements

  • Master's degree required.
  • At least five years of experience in teaching, coaching, research, facilitation, or a related role.
  • Experience in coaching, facilitation, or a related role, including delivering or supporting online learning experiences; experience at scale is preferred.
  • Strong familiarity with AI use cases, applications, and emerging trends across industries.
  • Strong written and verbal communication skills, including the ability to explain technical concepts clearly to experienced professionals with mixed technical backgrounds.
  • Ability to guide troubleshooting without taking over learners' work and to provide effective asynchronous support.
  • Understanding of appropriate handling of sensitive data, credentials, and permissions, and the importance of verifying AI-generated outputs.
  • Demonstrated ability to work collaboratively in a remote and fast-paced environment.
  • Strong interpersonal, organizational, and problem-solving skills; ability to manage multiple priorities and work effectively with diverse stakeholders.
  • Self-motivated, with a continuous improvement mindset and willingness to learn new tools and technologies.
  • Comfort working with ambiguity and rapidly evolving technologies, with curiosity and a commitment to continuous learning.
  • Ability to build, test, and troubleshoot AI-enabled workflows in Microsoft Copilot Studio or n8n; Copilot Studio is the anticipated primary platform, and willingness to learn the selected environment is essential.
  • Comfort with workflow and integration concepts including conditional logic, variables, data mapping, basic JSON, connectors/API calls, and reading execution histories.
  • Working knowledge of prompts, structured outputs, retrieval-augmented generation (RAG), tool calling, and human review/approval steps.
  • Ability to diagnose configuration, connection, and output-quality problems; compare results against clear criteria; document findings; and escalate infrastructure issues appropriately.

Nice To Haves

  • Hands-on experience with both Copilot Studio and n8n, including relevant Power Automate integrations and knowledge-source configuration.
  • Experience using Miro, Figma/FigJam, or comparable visual collaboration tools to map workflows, clarify human–AI responsibilities, and facilitate collaborative design discussions. Miro is the anticipated choice; advanced visual design expertise is not required.
  • Experience supporting online adult learners, maintaining troubleshooting guides, and reading or adapting Python/Google Colab examples.
  • Familiarity with learning management systems (LMS) and online collaboration platforms.
  • Experience with Salesforce or similar CRM systems.

Responsibilities

  • Support the Mod 2 learner experience and course delivery in the Online MS in AI in Business program.
  • Guide and coach learners in developing critical thinking, responsible AI practices, and executive-level judgment.
  • Support learner engagement, assessment oversight, and learner progress.
  • Work collaboratively with learners, faculty, Student Success, and stakeholder teams.
  • Provide asynchronous support and guide troubleshooting without taking over learners' work.
  • Build, test, troubleshoot, and evaluate AI-enabled workflows; document findings and escalate infrastructure issues appropriately.
  • Contribute to continuous improvement across the program experience.
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