In this role, your responsibilities include:
-Represent Logistics on all capacity-related matters across Inbound & Outbound Freight, Distribution Centres, and all route-to-market channels.
-Develop and sustain a forecast and capacity review cadence with cross-functional teams (Supply/Demand Management, Retail Fulfilment Operations, Procurement) and internal Logistics teams (Freight, DC Operations), covering steady-state operations, quarter-end shipments, new product launches, and promotional events.
-Communicate and influence scale decisions with key stakeholders, incorporating demand/supply assumptions, supportability constraints, and cost considerations to maximise consumer sales while managing spend.
-Lead logistics capacity planning activities ahead of and during peak events, ensuring shipment and delivery lead times are met; surface risks to stakeholders and provide clear execution direction to internal Logistics teams.
-Own Mid-Term and Long-Term Volume Planning with regional and worldwide stakeholders, including forecast review, capacity requirements modelling, and scale action planning to support business growth.
-Provide returns volume forecasts to plan DC and freight resources during peak periods, ensuring timely goods receipt in line with Service Level Agreements.
-Support planning and monitoring reporting requirements, including troubleshooting planning tool issues and building supplementary dashboards where needed.
-Drive continuous process improvement in capacity planning workflows and management systems to improve efficiency and operational effectiveness.
Minimum Qualifications
Strong data analytics and numeracy skills with high attention to detail.
Organised and able to adapt quickly in a dynamic, fast-paced environment.
Demonstrates strong problem-solving capability with comfort navigating ambiguity and complexity.
Excellent written and verbal communication, influencing, and negotiation skills.
Proven ability to build effective working relationships across cross-functional teams.
Strong experience with data analysis tools (Tableau, Python, SQL, Excel); ability to read or write code is an advantage.
Demonstrated ability to adopt new technologies and champion their use within the team.
Preferred Qualifications
Bachelor/ Masters degree preferred. Candidates with 5 years of relevant experience in supply chain/ logistics are welcome.
Experience in leveraging GenAI and/or low-code LLM platforms (Claude, Gemini, etc.) to automate processes, build analytical models, and drive efficiency across individual and team workflows.