Learning Systems Project Manager – AI-Driven LMS Delivery

maestro human resource pte. ltd.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Maestro HR is seeking an experienced Project Manager to lead learning systems projects, coordinating with stakeholders to implement LMS, LXP, and AI-enabled solutions that enhance workforce development.

You will drive end-to-end delivery, manage client communications, scope, budgets, and timelines while guiding teams through Agile and Waterfall methodologies and ensuring quality across learning technologies.

Qualifications

• Proven experience leading complex projects from initiation to closure.
• Knowledge of Agile and Waterfall methodologies.
• Familiar with AI/LLMs and evaluating AI adoption opportunities.

Responsibilities

• Lead end-to-end delivery of learning development projects, meeting client requirements, deadlines, and quality standards.
• Serve as primary client contact, managing communication and updates.
• Define scope, objectives, and deliverables with clients; document scope changes.
• Support AI-enabled learning capabilities such as intelligent search and personalized recommendations.
• Allocate resources to ensure project teams have necessary skills.
• Oversee budgets, timelines, and resource allocations.
• Ensure QA by overseeing testing and validation; drive continuous improvement.
• Identify risks and develop mitigation strategies.
• Maintain project documentation for senior management and clients.
• Conduct post-project evaluations and capture lessons learned.

Skills

Project management

Agile

Waterfall

MS Project

Trello

AI concepts

Education

Bachelor's degree in Project Management or related field

Tools

Microsoft Project

Trello

Job description

Maestro HR is seeking an experienced Project Manager to lead learning systems projects, coordinating with stakeholders to implement LMS, LXP, and AI-enabled solutions that enhance workforce development.

You will drive end-to-end delivery, manage client communications, scope, budgets, and timelines while guiding teams through Agile and Waterfall methodologies and ensuring quality across learning technologies.