Instructor - Generative AI in Data Analytics

The Part-Time Instructor for Generative AI in Data Analytics plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect Generative AI concepts with real-world analytics and business intelligence applications.

This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format.

Deliver live online training sessions on Generative AI applications in analytics.

- Overview of Generative AI in data analytics - Role of AI in modern analytics workflows - Emerging trends and enterprise applications

- Data augmentation using AI-generated synthetic data - Generative AI for exploratory data analysis - AI-assisted data interpretation and insight generation - AI-driven data modeling and forecasting concepts

- Generative AI for tailored data visualization - AI-assisted dashboarding and reporting workflows - Integration of AI into visualization pipelines

- Optimization of ETL processes using AI tools - AI-assisted workflow automation concepts - Data preparation and transformation using AI-enabled tools

- Challenges and ethical considerations in integrating AI into analytics workflows - Responsible AI usage and governance concepts - Future trends and emerging applications in AI-driven analytics

Provide hands-on demonstrations using relevant AI and analytics tools.

Facilitate practical exercises, case studies, assignments, and project guidance.

Mentor learners and resolve technical or conceptual queries.

Maintain session quality metrics, learner engagement, and reporting standards.

Collaborate with internal teams on curriculum refinement and content enhancement initiatives.

- Bachelor's degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related field - Industry experience applying Generative AI or AI-assisted analytics techniques - Strong understanding of data analytics workflows and tools - Familiarity with LLM-based tools, prompt engineering, or AI platforms - Prior experience delivering online or classroom training preferred - Excellent communication, facilitation, and presentation skills - Ability to explain AI concepts through practical analytics use cases

- Experience with Python, SQL, or analytics ecosystems - Exposure to AI platforms and tools such as:

- OpenAI's ChatGPT - OpenAI Playground - Hugging Face - Similar Generative AI platforms and LLM ecosystems

- Experience integrating AI into visualization, reporting, or analytics pipelines - Certifications in AI, Data Analytics, or Data Science - Familiarity with AI-assisted automation and business intelligence workflows

- Ability to bridge AI concepts with practical analytics use cases - Strong learner engagement and facilitation capability - Structured and professional virtual delivery approach - Analytical and mentoring mindset - Strong problem-solving and communication skills - Adaptability to evolving AI technologies and analytics trends

Maintain regular communication with students regarding progress, expectations, and milestones.

Provide clear, constructive, and timely feedback on assignments, assessments, and projects.

Evaluate student progress based on course deliverables and established grading rubrics.

Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.

Support learner improvement plans and project readiness initiatives when necessary.

Serve as a role model and mentor for learners pursuing AI and analytics careers.

Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.