A*STAR - Agency for Science, Technology and Research
Singapore
On-site
SGD 80,000 - 120,000
Full time
14 days+
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Job summary
A*STAR - Agency for Science, Technology and Research in Singapore is seeking a Project Manager to lead end-to-end AI deployment projects across manufacturing partners. The role requires over 5 years of experience in technology project management and strong communication skills. Candidates should have a degree in Engineering or a related field and ideally possess PMP or Agile certification. The position offers a dynamic work environment to drive impactful technology innovations.
Qualifications
More than 5 years of project management experience delivering technology projects in manufacturing environments.
Experience in delivering cross-functional, multi-party projects involving AI/analytics or digitalisation.
PMP or Agile certification is advantageous.
Responsibilities
Plan, execute, monitor and close AI deployment projects.
Deep-dive with technical/research teams to convert pain points into requirements.
Manage delivery risks and perform change control to protect outcomes.
Skills
Project management
Stakeholder management
Risk management
Communication skills
Problem-solving
Education
Bachelor's degree in Engineering/Industrial Systems/Manufacturing
Job description
Responsibilities
End-to-end project leadership (industry deployment): Plan, execute, monitor and close concurrent AI deployment projects across manufacturing partners, ensuring delivery on scope, schedule, cost, quality and deployment readiness.
Industry problem scoping & requirements translation: Deep-dive with technical/research teams and industry stakeholders to convert operational pain points into clear requirements, milestones, and acceptance criteria for deployment.
Cross-functional orchestration: Act as the execution integrator across AI researchers, manufacturing domain experts, AI engineering/productisation teams, Business Development, Ops/Finance/Legal to ensure smooth delivery and fast issue resolution.
Governance, compliance & reporting: Ensure compliance to programme governance and grantor requirements; drive disciplined reporting to internal and external stakeholders using programme rhythms (e.g., project dashboards / cadence reviews).
Risk, issue & change management: Proactively manage delivery risks (data readiness, integration constraints, scope creep, partner dependencies) and execute change control to protect outcomes.
Impact realisation & outcome measurement: Define and track project outcome indicators (e.g., time savings, productivity, defect reduction, planning efficiency), coordinate post-project data capture where required, and package evidence for programme impact reporting.
Stakeholder management: Manage stakeholder environments spanning industry, public agencies and leadership, and prepare decision-led updates.
Job Requirements
Bachelor's degree in Engineering / Industrial Systems / Manufacturing-related discipline
More than 5 years of project management experience delivering technology projects in manufacturing / production environments (e.g., automation, inspection, planning/scheduling, digital manufacturing, industrial 4.0).
Working understanding of manufacturing operations and production technologies (e.g., MES/ERP, shopfloor data, process flows, quality systems, maintenance workflows, automation contexts).