AI Learning Specialist - Digital Competency

AI Learning Specialist
- Digital Competency Job Snapshot Role: AI Learning Specialist
- Digital Competency

Location:

Riyadh, Saudi Arabia Industry: E-Learning Function:
Training/E-Learning

Experience:

Minimum 10 years of relevant digital learning, competency, technology, or Quality experience Job Type: Full-time

Job Details Country:
Saudi Arabia City:
Riyadh Industry: E-Learning Function:
Training/E-Learning Salary:  Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality:
Any Job Type: Full-time

The AI Learning Specialist will help build the digital capabilities required for increasingly technology-driven project delivery and Quality Management. Working with the Competency Program Manager, Quality teams, Digital Transformation specialists, IT, discipline leaders, and project stakeholders, the position will translate emerging AI capabilities into structured competency requirements and practical learning programs. The role combines workforce development with technology adoption, ensuring personnel can use AI, analytics, automation, digital platforms, and modern knowledge systems effectively and responsibly.

• Develop and implement AI and Digital Competency Frameworks for Quality professionals and relevant project personnel.
• Define digital competency requirements according to project roles, technical responsibilities, systems, applications, and future capability needs.
• Conduct structured AI and digital skills assessments to identify current competency levels and development gaps.
• Build and maintain role-based competency matrices and digital capability profiles.
• Design AI-focused learning and development programs for Quality Engineers, Inspectors, Auditors, managers, and supporting project personnel.
• Identify practical applications of Artificial Intelligence, automation, data analytics, and digital tools within Quality Management processes.
• Create learning pathways covering AI awareness, Generative AI, data literacy, automation, digital collaboration, and technology-enabled Quality workflows.
• Develop digital training materials, interactive learning modules, reference guides, knowledge resources, and AI-assisted learning content.
• Evaluate emerging AI platforms and digital technologies for potential use in project Quality and competency management.
• Support adoption of AI-assisted tools for document review, Quality reporting, trend analysis, knowledge retrieval, and lessons-learned management.
• Develop learning solutions delivered through Learning Management Systems, e-learning platforms, virtual learning environments, and other digital channels.
• Establish competency assessment methods using online testing, practical evaluations, simulations, scenario-based exercises, and technology-supported assessments.
• Measure the effectiveness of AI and digital learning initiatives and recommend adjustments based on performance evidence.
• Develop dashboards showing training completion, competency assessment results, development progress, capability gaps, and program effectiveness.
• Coordinate with Subject Matter Experts to ensure learning content remains technically accurate and relevant to project requirements.
• Establish and maintain a Digital Competency and Training Register.
• Monitor mandatory digital learning requirements and follow up overdue competency development activities.
• Support Quality teams during implementation of new applications, digital systems, collaborative platforms, and technology-enabled workflows.
• Identify repetitive manual activities that could be improved through process automation or AI-assisted solutions.
• Help develop digital Quality templates, tools, workflows, knowledge repositories, and standardized resources.
• Analyze Quality performance data to identify recurring issues, trends, competency deficiencies, and improvement opportunities.
• Connect digital competency information with Quality performance indicators to identify where training or technology intervention can improve outcomes.
• Support integration of AI, analytics, and digital learning insights into broader Quality improvement programs.
• Develop structured digital knowledge libraries containing procedures, technical guidance, lessons learned, reference materials, and project best practices.
• Promote active knowledge sharing and encourage appropriate adoption of new technologies across the Quality Division.
• Support preparation of annual AI and digital competency development plans.
• Produce management reports covering capability status, training performance, AI adoption, implementation progress, and improvement actions.
• Establish and monitor AI and Digital Competency KPIs.
• Provide training and competency evidence during internal, client, consultant, or external audits.
• Ensure digital learning initiatives comply with organizational policies, information security requirements, project procedures, and applicable data governance principles.
• Promote responsible AI use by reinforcing…