AI Automation & Governance Instructor at UstackSchool

About the Role

• As an AI Automation and Governance Instructor, you will design, build, and deliver comprehensive training in AI automation, governance, and responsible AI deployment. You’ll develop high-quality learning materials (notebooks, slides, simulations, and assessments), lead engaging lectures and workshops, and continuously improve content based on learner and client feedback.
• You’ll operate at the forefront of AI transformation—teaching not only how to build AI automation systems but also how to govern, audit, and deploy them ethically and safely.
• Instructors serve as mentors, thought leaders, and role models for learners enrolled in our AI Automation & Governance Program, which prepares professionals to deliver compliant, ethical, and efficient AI-driven automation solutions across industries.

Curriculum Strategy, Design & Delivery

• Design and deliver curriculum on AI automation, safety, and governance frameworks (e.g., OECD, EU AI Act, ISO/IEC 42001).
• Develop course content tailored to Nigeria and UK apprenticeship standards, ensuring global relevance.
• Incorporate responsible AI principles and risk management methodologies into all modules.
• Translate complex topics—such as model transparency, explainability, and AI system lifecycle management—into accessible, practical learning.
• Align content with enterprise AI transformation goals, emphasizing accountability, auditability, and ethical deployment.

AI Automation, Safety & Governance Engineering

• Hands-on experience deploying and monitoring AI automation solutions across enterprise workflows.
• Demonstrate AI model governance practices—from data lineage and bias detection to compliance documentation.
• Introduce learners to AI auditing frameworks, AI risk registers, and compliance impact assessments (AIA/PIA).
• Showcase practical applications of AI workflow tools (e.g., Zapier, n8n, Robocorp) integrated with safety and governance protocols.
• Educate on AI observability and policy enforcement tools to ensure responsible automation.

Learner Mentorship, Work Experience & Career Coaching

• Mentor students in AI governance processes, automation lifecycle management, and stakeholder engagement.
• Conduct one-on-one mentorship sessions, guiding learners through their automation and governance projects.
• Foster a growth mindset, helping learners approach AI development with a blend of innovation and accountability.
• Track learner progress using governance maturity metrics, project KPIs, and risk-assessment performance indicators.
• Support learners in developing AI compliance portfolios aligned with industry best practices.

Hands-On Learning & Simulations

• Facilitate practical labs in AI workflow automation, governance documentation, and compliance evaluation.
• Guide learners through end-to-end AI project simulations—from automation design to responsible deployment.
• Build learner competence in prompt engineering, LLM integration, model validation, and AI audit trails.
• Provide real-world case studies involving AI incidents, governance failures, and ethical decision-making scenarios

Collaboration & Community Engagement

• Collaborate with the curriculum and program design teams to align learning outcomes with industry certifications and ethical AI frameworks.
• Host guest sessions with AI ethics and governance professionals, building an expert learning community.
• Lead group capstone projects integrating automation and governance principles for enterprise use cases.
• Encourage peer learning, accountability circles, and governance review boards to simulate industry practice.

Assessment & Continuous Improvement

• Evaluate student projects and capstone deliverables using structured rubrics aligned with AI governance standards.
• Use learner feedback, analytics, and industry insights to iterate content and delivery models.
• Stay current with emerging AI policies, frameworks, and compliance regulations to ensure content relevance.
• Contribute to internal discussions on AI ethics, governance maturity, and automation best practices.

Metrics & Reporting

• Monitor and report on learner performance, engagement, and compliance understanding.
• Provide actionable insights for curriculum refinement and learner success tracking.
• Maintain transparent records of learner outcomes, governance competencies, and instructional impact.

Cross-Functional Collaboration

The department collaborates closely with:

• Product & Curriculum Design Team (for course development and innovation).
• Marketing & Admissions (to align academic offerings with market needs).
• Student Success and Career Services (to connect learning outcomes with career pathways and future proof careers).
• Technology Team (to optimise the LMS and digital learning experience).

Qualifications

• 3+ years of experience in AI automation, governance, or compliance-led technology delivery.
• Proven expertise in AI process automation and ethical AI governance (enterprise or consulting environment).
• Solid understanding of AI frameworks, risk controls, and governance standards (e.g., ISO/IEC, NIST AI RMF).
• Proficiency in AI automation tools such as n8n, Zapier, UiPath, or Power Automate.
• Familiarity with AI auditing, compliance reporting, and policy alignment.
• Strong communication, facilitation, and mentoring skills.
• Prior teaching, coaching, or training experience preferred.
• Certifications in AI ethics, governance, or automation engineering are a strong advantage.
• Working knowledge of project and change management tools (e.g., Jira, Miro, HubSpot).