About the Role

This role applies Industrial Engineering principles across the full digital commerce fulfilment value chain — from order placement through to last-mile delivery and returns. You'll drive end-to-end process optimisation, systems alignment, and scalable infrastructure design to enable efficient, future-fit operations at scale.
The role has a dual focus:

• Process Optimisation — analysing and redesigning fulfilment and operational processes to improve efficiency, cost, speed, and quality
• Infrastructure Delivery — supporting the design, feasibility, and implementation of fulfilment and logistics infrastructure to enable scalable growth

Key Responsibilities

• Analyse current operational processes, workflows, and resource utilisation to identify inefficiencies and improvement opportunities
• Design and implement process improvements to optimise throughput, reduce waste, and enhance productivity
• Collect, validate, and analyse operational data to identify trends, bottlenecks, and performance gaps
• Develop models, simulations, and forecasts to support planning and decision-making
• Support capacity modelling, workforce planning, and resource allocation initiatives
• Contribute to operational improvement projects, tracking progress and benefits realisation
• Support the design of space plans, drawings, and specifications for new and existing fulfilment infrastructure
• Manage execution of infrastructure changes across multiple stakeholders, providing proactive progress and cost feedback
• Support operations teams through go-live and stabilisation phases of projects
• Support integration of systems, tools, and technologies (ERP, WMS, OMS) to enhance operational efficiency, including requirements translation and UAT support
• Collaborate with cross-functional teams across operations, supply chain, technology, and property to align on challenges and requirements
• Present findings, insights, and recommendations clearly to business stakeholders

What You'll Need

• Bachelor's degree in Industrial Engineering or a related field (essential)
• 5+ years' experience in process optimisation, operations analysis, continuous improvement, or a similar discipline (essential)
• Exposure to data analysis tools such as Excel, Power BI, SQL, or similar
• Experience in retail, logistics, supply chain, or complex operations environments (preferred)
• Strong process re-engineering capability — as-is mapping, gap analysis, and future-state design
• Proven ability to drive cross-functional alignment and execution in a fast-paced environment

Key Competencies

• Collaborative, accountable, and able to deliver independently
• Clear, confident communicator who builds strong working relationships
• Strong planner who delivers quality outcomes and takes ownership of results
• Resilient and adaptable under pressure in a fast-changing environment
• Analytical thinker who drives continuous improvement through practical, innovative solutions
• Data-driven approach to performance, planning, reporting, and budgeting