Optimisation Specialist

We are seeking an exceptional Supply Chain Optimisation Professional to lead our optimisation team in analysing the network, identifying opportunities for reducing lead times, minimising costs, and enhancing service levels to better meet customer needs.

This role involves developing models to simulate, optimise, predict, and control the supply chain, improving cost, speed, and customer experience. The successful candidate will have a proven track record of leading teams, fostering collaboration, and building a culture of continuous improvement.

The ideal candidate will have expertise in analysing large datasets to inform supply chain strategy and decision-making, with a focus on driving efficiency and service improvements. They will also have experience with linear programming, mixed-integer programming, constraint programming along with a strong foundation in statistical modelling (i.e. Regression analysis, Bayesian methods, and Monte Carlo simulations) and common programming languages (Python, R).

• Enhance business decision-making using optimisation, algorithm design, statistics, and machine learning.
• Support and coordinate across supply chain functions with a holistic, objective approach.
• Focus on transportation design, labour/resource planning, capacity planning, system accuracy, and process efficiency.
• Develop models to simulate, optimise, predict, and control the supply chain, improving cost, speed, and customer experience.
• Analyse the downstream network to identify opportunities for cost reduction, lead time improvements, and service enhancement.
• Execute complex, cross-functional projects to optimize processes and build new capabilities.
• Collaborate with logistics, distribution, and production teams to align initiatives with business goals.
• Define and track KPIs to drive and monitor continuous supply chain improvements.
• Scope, plan, and lead/support major sourcing and supply chain initiatives.

• Experience in a similar role in leading optimisation across Supply Chain operations, preferably network optimisation, fulfilment operation, lead time reduction, and cost management.
• Proven experience in planning and executing projects from concept through to implementation.
• Ability to develop mathematical representations of complex business problems and translate them into solvable models.
• Ability to maintain performance, focus, and composure when faced with tight deadlines, shifting priorities, or unexpected challenges.
• Motivated individual with strong analytical and algorithmic skills and practical experience with the ability to develop mathematical representations of complex business problems and translate them into solvable models.
• Expertise in analysing large datasets to inform supply chain strategy and decision-making, with a focus on driving efficiency and service improvements.
• Experience with linear programming, mixed-integer programming, constraint programming along with a strong foundation in statistical modelling (i.e. Regression analysis, Bayesian methods, and Monte Carlo simulations) and common programming languages (Python, R).
• Strong understanding of supply chain principles, particularly in downstream network optimisation, lead time reduction, and cost management.
• Demonstrated experience in leading teams, fostering collaboration, and building a culture of continuous improvement.
• Strong communication skills and the ability to collaborate effectively with stakeholders across procurement, logistics, and planning functions.

We offer a range of benefits that support your career growth and work-life balance. These include:

• Generous employee discounts across our House of Brands
• Seasonal clothing allowance
• An additional day of leave for your birthday
• An Industry leading Parental Leave Program
• Flexible working arrangements to support work/life balance
• Annual learning calendar to support the ongoing development of our team
• Support community partnerships across our Corporate Social Responsibility Program
• We are committed to operating ethically, sustainably, and responsibly.