Minimum Requirements

Education and Experience:

• Bachelor's degree/diploma in Human Resources, Instructional Design, Education, Training & Development ODETDP, or Business Administration.
• Minimum of 2-3 years of experience in a training-related role/ Learning and Development field.

Skills and Knowledge:

• Technical Proficiency: Basic understanding of AI principles, machine learning concepts, and L&D-specific AI tools. 
• Digital savvy: Knowledge on how to use all digital collaboration tools, i.e: MS Teams, planner, Viva Engage, MS Forms etc
• Microsoft Power Platform suite: Be able to use automating tools i.e: Power Automate to automate workflows between various applications and services.
• Advanced Excel skills: Ability to manipulate large datasets, data cleanse and solve for simple and complex data related queries in order to extract deep insights from training data.
• Project Management: Ability to manage multiple tasks efficiently and ensure programme delivery within deadlines.
• Communication Skills: Have excellent written and verbal communication skills to effectively communicate with all stakeholders of the Academy.
• Creative skills: Ability to design and create training flyers/banners using design software i.e: Canva, Adobe Photoshop, Illustrator, and InDesign.
• Networking and hosting skills: Ability to engage and actively listen to learners and demonstrate your genuine interest in them. Foster deeper conversations to understand and anticipate their needs.
• Training Co-ordination: Ability to arrange logistical arrangements for multiple training sessions.

Duties and Responsibilities

AI tool management:

• Stay informed about the latest AI tools and platforms relevant to L&D. i.e: adaptive learning platforms software applications used in L&D that personalise the learning experience for each employee. They leverage AI and machine learning to adjust the learning content and pace based on the learners’ strengths, weaknesses, experience, education history, acquired skills and learning style, and chatbot-based training platforms.
• Configure and manage settings within AI tools to ensure they function as intended. 
• Monitor the data that is generated by the AI tools and assist with the formation of learner insights in order for the Data Analyst to analyse learner performance trends to identify areas for improvement.
• Provide ongoing technical support to learners and Facilitators/Orchestrators encountering difficulties with the AI tools.

Programme co-ordination and ongoing support:

• Collaborate with L&D programme leads, L&D Specialists and Instructional designers to integrate AI tools seamlessly into the overall learning experience.
• Develop user guides and training materials to help learners navigate and utilise the AI tools effectively.
• Provide learner onboarding initial training on how to navigate and utilise the AI learning platform effectively.
• Assist learners with any technical issues they may encounter while using the platform.
• Manage programme logistics i.e: scheduling, co-ordination and training resources, ensuring smooth programme execution.
• Maintain programme documentation, including reports on AI tool usage and learner feedback.
• Analyse learning programme data to evaluate the effectiveness training programmes and to recommend improvements.

Communication and Collaboration:

• Communicate clearly with L&D specialists, instructional designers, and external technical support teams to ensure smooth programme execution.
• Act as a liaison between learners and AI tool providers, relaying feedback and concerns for necessary updates or troubleshooting.
• Gather feedback from learners and instructors about their experience with the AI programmes. Work with the program specialist to address issues and make necessary adjustments to optimize the platform and learning experience.
• Update and share relevant emerging AI-powered L&D trends and information with the team.
• Elevate the learning experience by creating a welcoming environment for delegates through hosting and engaging in meaningful conversations with the learners. 
• Ensure clear communication throughout the programme, ultimately transforming delegates into enthusiastic participants.

Academy Operations:

• Automate manual and repetitive processes using no code/low code deployment tools such as Power Automate in order to improve processes and boost productivity.
• Manage the logistics of training programmes, including scheduling, budgeting, and securing resources rooms, facilitators, materials for in person interventions and other events hosted by the Academy.
• Plan training sessions with programme leads and facilitators and ensure that they have the necessary materials and support in order for them to effectively deliver their training sessions.
• Regularly maintain the Learning Management System.