Lead Instructional Designer

Role & responsibilities

• Analyze learning content and apply metadata, cognitive, and pedagogical tags to make it searchable, reusable, and AI-ready for next-generation learning solutions.
• Adapt and transform various learning assets eLearning modules, microlearning, assessments, text, and multimedia into structured datasets that power data services and automation.
• Prepare human-generated text for AI systems, ensuring clarity, alignment with learning objectives, and adherence to tagging and annotation standards.
• Design and maintain tagging frameworks and taxonomies that support adaptive learning, personalization, and AI-driven experiences.
• Apply instructional design principles throughout the content tagging and transformation process, ensuring compliance with accessibility standards (WCAG 2.0), copyright regulations, and data quality best practices.
• Collaborate with AI and technology teams to continuously optimize workflows for automation and intelligent personalization of learning content.
• Review tagged and transformed content for accuracy, consistency, and instructional effectiveness, while conducting Root Cause Analysis (RCA) and defining Corrective and
• Preventive Actions (CAPA) for continuous improvement.
• Challenge existing processes, identify inefficiencies, and propose innovative solutions to improve content workflows and support AI-assisted content services.
• Maintain up-to-date process documentation, tagging guidelines, and knowledge bases to ensure scalability and team alignment.
• Partner closely with project managers, data services teams, and Subject Matter Experts (SMEs) to deliver high-quality tagged and adapted content within deadlines.
• Support cross-functional projects focused on integrating structured content into learning ecosystems and AI-powered data pipelines.
• Mentor junior instructional designers on best practices in content tagging, adaptation, and AI-aligned instructional design.
• Conduct training sessions and knowledge-sharing workshops on annotation techniques, preparing content for AI applications, and leveraging automation tools.
• Stay up-to-date with emerging trends in learning, automation technologies, and AI-driven solutions to drive continuous innovation.

Preferred candidate profile

• Strong instructional design expertise with knowledge of metadata tagging, taxonomy design, and adult learning methodologies.
• Proficient in eLearning authoring tools (Articulate Rise), LMS platforms (Canvas, D2L), and content management systems.
• Experience in AI data preparation, annotation, and tagging for adaptive learning and AI-driven personalization.
• Systems thinking to connect content, processes, platforms, and workflows holistically.
• Challenger mindset to question assumptions and improve existing processes.
• Familiarity with gamification, scenario-based learning, and immersive learning approaches.
• Strong analytical, communication, and stakeholder management skills.
• Ability to innovate workflows using automation and AI-enabled transformation.
• Proven ability to manage multiple projects and adapt to evolving client and technology needs.