Technical Manager – Learning Projects

MINDTECK SINGAPORE PTE LTD

Singapore

On-site

SGD 180,000 - 240,000

Full time

4 days ago
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Job summary

Mindteck Singapore Pte Ltd is seeking an experienced Technical Manager to lead the design, development, and delivery of intelligent learning applications, including LMS and AI-enabled learning solutions. You will oversee technical architecture, AI integration, and system implementation to ensure scalable, secure learning platforms.

Collaborating with engineers, instructional designers, and stakeholders, you will drive adoption of standards such as SCORM, xAPI, and LTI; mentor teams; and manage

Qualifications

  • Experience in software architecture and application development.
  • Strong experience with Python, JavaScript, or Java.
  • Proven track record in digital learning solutions.
  • Knowledge of LMS standards (SCORM, xAPI, LTI).
  • Experience with cloud platforms and APIs.

Responsibilities

  • Lead design, development, and delivery of learning applications.
  • Define system architecture and best practices for AI integration.
  • Mentor engineers and coordinate cross-functional teams.
  • Oversee security, data protection, and QA.
  • Collaborate with stakeholders to translate business needs.

Skills

Software architecture
Python
JavaScript
Java
Web technologies
APIs
Microservices
Cloud architectures
Leadership
Mentoring
Data analytics

Education

Bachelor's or Master’s in Computer Science/IT/EdTech

Tools

TensorFlow
PyTorch
Scikit-learn
LMS platforms
xAPI
SCORM
LTI
AWS
Azure
GCP
REST APIs
Git

Job description

Singaporean Only

Job Title: Technical Manager – Learning Projects
Job Overview:

We are seeking an experienced Technical Manager to lead the design, development, and delivery of intelligent learning applications, including Learning Management Systems (LMS) and AI-enabled learning solutions.

The role will oversee technical architecture, AI integration, and system implementation to ensure scalable, secure, and high-performing digital learning platforms. The Technical Manager will work closely with project teams, engineers, instructional designers, and stakeholders to deliver innovative learning technologies that enhance learner engagement and operational efficiency.

Key Responsibilities:
Technical Leadership
  • Lead the technical design, development, and implementation of learning applications such as LMS, learning experience platforms, and digital training systems.
  • Define system architecture, development standards, and best practices for learning technologies and AI integration.
  • Provide technical guidance and mentorship to engineers and development teams.
AI Strategy & Integration
  • Identify opportunities to leverage AI technologies to enhance learning experiences, such as:
    • Intelligent content recommendations
    • AI-powered chatbots or virtual learning assistants
    • Learning analytics and predictive insights
    • Adaptive learning pathways
  • Oversee the integration of AI tools, machine learning models, and data driven capabilities into learning platforms.
System Architecture & Integration
  • Design scalable and secure system architecture for LMS and related digital learning platforms.
  • Oversee integration with enterprise systems such as HR systems, authentication systems, and analytics platforms.
  • Ensure compliance with e-learning standards such as SCORM, xAPI, and LTI.
Project & Delivery Oversight
  • Collaborate with project managers to ensure technical deliverables are aligned with project timelines and requirements.
  • Review system designs, code quality, and deployment processes to ensure reliability and performance.
  • Manage vendor solutions, external developers, or platform providers where applicable.
Stakeholder Engagement
  • Work with internal stakeholders, including learning teams, product managers, and senior leadership, to translate business needs into technical solutions.
  • Provide technical insights and recommendations during project planning, solution design, and implementation.
Governance & Quality Assurance
  • Ensure compliance with security, data protection, and enterprise architecture standards.
  • Oversee testing strategies, system performance monitoring, and continuous improvement initiatives.
Skills & Experience Required:
  • Technical Expertise: Strong experience in software architecture and application development, proficiency in programming languages such as Python, JavaScript, or Java and experience working with web technologies, APIs, microservices, and cloud-based architectures.
  • AI & Data Competencies: Understanding of AI/ML technologies and frameworks such as TensorFlow, PyTorch, or Scikit-learn, experience implementing AI-powered features such as recommendation systems, chatbots, or data-driven analytics and familiarity with generative AI, NLP, or intelligent automation is an advantage.
  • Experience in Digital Learning Solutions: Proven track record in leading digitalization and e-learning projects, with a deep understanding of instructional design, content management, and digital learning trends.
  • Software Development Knowledge: Familiarity with software development languages (e.g., JavaScript, Python, HTML5, CSS) and integration techniques (APIs, cloud-based solutions) to manage and deploy technical solutions.
  • Leadership & Mentoring: Strong leadership and team management skills, with experience mentoring junior team members and working cross functionally with IT, business, and learning teams.
  • Analytical & Problem-Solving Skills: Excellent ability to analyze data and metrics to assess the effectiveness of learning solutions and make data-driven recommendations for improvement. Ability to analyze complex system issues across multiple layers (frontend, backend, infrastructure and database) and implement effective solutions with minimal service disruption.
  • Communication Skills: Strong verbal and written communication skills, with the ability to present technical solutions in a clear and accessible way to non-technical stakeholders.
  • Contextual Knowledge: Prior experience with government agencies is preferred
Preferred Qualifications:
  • Education: Bachelor's or Master’s degree in Computer Science, IT, Education Technology, Digital Learning, or a related field.
  • Certifications: ITIL, or certifications related to learning management , cloud or digital transformation are a plus.
  • Experience: 5–8 years of experience in software engineering, system architecture, technology project delivery and cloud platforms such as AWS, Azure, or Google Cloud. Experience supporting government digitalization projects is a plus.
  • Industry Knowledge: Knowledge of EdTech, LMS implementation, or learning platform development.
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