LEARNING FACILITATOR, OMAIB, Questrom School of Business

The Role of the Learning Coach

The role of the “human” coach evolves beyond traditional teaching support and facilitation responsibilities. The Learning Coach helps learners navigate the cognitive, strategic, ethical, and professional dimensions of working with AI.

Key Responsibilities

• 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.
• Maintain 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.

Learner Feedback & Assessment

• 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.

Program Improvement & Operations

• 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.

Required Skills

• 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, research, facilitation, or a related role.
• Strong written and verbal communication skills with the ability to provide constructive feedback.
• 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.
• Comfortable with ambiguity, emerging technology advances, and curiosity to continuously learn.

Technical Skills Requirement

• Proficiency using generative AI tools and large language model platforms such as ChatGPT, Claude, Gemini, or similar technologies.
• Python proficiency.
• Google Colab.
• AI agents and agentic AI familiarity.

Preferred Qualifications

• Academic or professional background in computer science, information systems, engineering, mathematics, AI, or related fields.
• Experience with AI-related research, projects, or applied business use cases is highly desirable.
• Experience delivering or supporting online learning experiences, preferably at scale.
• Experience working with adult or professional learners.
• Familiarity with learning management systems (LMS) and online collaboration platforms.
• Experience with Salesforce or similar CRM systems.
• Experience developing operational processes, documentation, or best practices.
• Interest in responsible AI, ethics, and the future of work.