[LTA-LNO] SENIOR / EXECUTIVE / PROJECT ENGINEER, LEAN OFFICE

LTA Land Transport Authority; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

LTA Land Transport Authority in Singapore seeks a Senior/Executive/Project Engineer to lead lean transformation across infrastructure projects, driving lean frameworks, governance and data-driven decision making.

You will drive construction tech adoption, develop AI-enabled solutions, and collaborate with management, project teams, consultants and contractors to deliver measurable improvements in project performance.

Qualifications

• Strong analytical, problem-solving and stakeholder management skills.
• Strong report writing, presentation and communication skills.
• Curious, self-driven and resourceful, able to work independently or in a team.
• Fresh graduates are welcome to apply.

Responsibilities

• Lead lean transformation and develop lean frameworks, standards and governance.
• Drive adoption of construction technologies and digital solutions across projects.
• Leverage project data and analytics to improve performance and decision making.
• Identify, pilot and scale AI solutions in engineering and project delivery.
• Evaluate emerging technologies and ensure data security and AI governance.
• Track outcomes to ensure measurable and sustainable benefits.
• Organise industry seminars and workshops to promote lean practices.

Skills

Analytical skills

Stakeholder management

Report writing

Communication skills

Curiosity & self-driven

Education

Bachelor's degree in Engineering / CS / Data Science

Tools

BIM

GIS

AI

Digital twins

IoT

Data Analytics

Robotics

Job description

[What the role is]SENIOR / EXECUTIVE / PROJECT ENGINEER, LEAN OFFICE[What you will be working on]Lean Office serves as a catalyst for lean transformation across LTA’s infrastructure development projects, partnering with internal stakeholders and industry partners to improve project delivery through lean construction and technology enabled integration.You will be part of a multidisciplinary team driving lean process improvement, construction technology adoption, project data analytics and AI solutions. Depending on your background and expertise, you will focus on one or more of these areas, working with management, project teams, consultants and contractors to turn ideas into practical solutions and deliver measurable outcomes.Your responsibilities will include:Leading lean transformation and process improvements initiatives, and developing lean frameworks, standards and governance to improve project delivery performanceDriving the adoption of construction technologies and digital solutions, and supporting trials and deployments across projectsLeveraging project data and analytics to improve project performance, productivity and decision-makingIdentifying, piloting and scaling AI solutions in engineering and project delivery, such as drawing and document review, tender evaluation, site reporting and engineering knowledge toolsEvaluating emerging technologies and develop guidelines and best practices, ensuring solutions meet data security and AI governance requirements.Tracking outcomes of initiatives to ensure that benefits are measurable and sustainableOrganising industry seminars, workshops and awards to promote lean construction practices and technology adoption[What we are looking for]Knowledge in Engineering, Project Management, Computer Science, Data Science or a related disciplineA passion for leveraging lean thinking, technology, data, and AI to drive transformation in the construction industryPrior experience in construction projects, lean construction, process improvement or business transformation will be an advantage.Familiarity with BIM, GIS, AI, automation, robotics, digital twins, IoT or data analytics will be an advantage.Strong analytical, problem-solving and stakeholder management skills.Strong report writing, presentation and communication skills.Curious, self-driven and resourceful, with the ability to work both independently and collaboratively in a team setting.Those without working experience are welcome to applyCandidates with relevant working experience may be considered for senior positionsAs part of the shortlisting process for the role, you may be required to complete a medical declaration and /or undergo further assessment.