About the role
AI summarisedSenior Engineer in the Project Management Office at ARTC, leading end-to-end deployment of AI projects in manufacturing environments. Responsible for scoping, cross-functional orchestration, governance, risk management, and stakeholder engagement to drive industry 4.0 initiatives.
ResearchFull-time
Key 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
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).
- Demonstrated experience delivering cross-functional, multi-party projects, preferably involving AI/analytics, digitalisation, or industrial software deployments.
- Working understanding of manufacturing operations and production technologies (e.g., MES/ERP, shopfloor data, process flows, quality systems, maintenance workflows, automation contexts).
- PMP / Agile certification is advantageous.
- Strong project execution discipline: scope/schedule/cost control, risk management, and governance compliance.
- Strong stakeholder management and communication skills; confident interfacing with industry leaders and cross-functional internal teams.
- High adaptability and structured problem solving; able to navigate ambiguity typical of R&D-to-deployment work.