⚡ New
Technical Director, Ports, Marine, Coastal
Jobtailor
PerthFull-timeMid LevelOn-site
Job Description
Job Description
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- Set the technical direction for port simulation, optimisation and data-science services across port planning, terminal operations, marine logistics, asset management and Defence infrastructure. \n
- Lead simulation and decision-support studies covering vessel and berth operations, cargo and yard flows, landside interfaces, resource allocation, maintenance, capacity and operational resilience. \n
- Apply methods such as discrete-event simulation, Monte Carlo analysis, optimisation, forecasting, statistical modelling, machine learning and scenario analysis to solve complex port and terminal problems. \n
- Translate operational data and modelling results into practical recommendations for master planning, capital investment, asset utilisation, operating strategies, service levels and risk management. \n
- Establish robust model governance and work with port planners and multidisciplinary engineers to ensure models are accurate, validated, reproducible and representative of real-world assets, constraints and operating rules. \n
- Lead client engagements, proposals and cross-functional teams, while developing scalable digital solutions and building enduring port simulation and analytics capability within the Ports, Marine & Coastal business. \n
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- A degree in computer science, data science, operations research, applied mathematics, engineering or a related quantitative discipline; a master’s degree or PhD is highly regarded. \n
- Substantial senior-level experience, typically 15+ years, leading data science, optimisation, simulation, quantitative modelling or complex software solutions. \n
- A proven record of developing and validating analytical systems for high-stakes operational environments, delivering measurable improvements in capacity, productivity, reliability, cost, risk or decision-making. \n
- Advanced capability in statistical modelling, Monte Carlo simulation, optimisation, forecasting and machine learning, supported by strong proficiency in Python or comparable technologies and experience delivering production-grade analytical solutions. \n
- Demonstrated ability to establish robust model governance, communicate assumptions and uncertainty clearly, and lead cross-functional teams involving technical specialists, operational stakeholders and clients. \n
- Strong consulting, client leadership and business development capability, with experience in ports, transport, logistics, industrial or other asset-intensive environments, together with excellent communication, commercial awareness and a commitment to ethical, practical innovation. \n
Demonstrates advanced capabilities in statistical modelling, Monte Carlo simulation, optimisation, and machine learning, with a strong proficiency in Python for developing production-grade analytical solutions. Proven experience in leading cross-functional teams and establishing robust model governance in asset-intensive environments.
Highest-signal resume keywords\n- \n
- Statistical Modelling \n
- Monte Carlo Simulation \n
- Optimisation \n
- Machine Learning \n
- Python Programming \n
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- Data Science \n
- Simulation \n
- Quantitative Modelling \n
- Forecasting \n
- Decision Support \n
- Analytical Systems Development \n
- Operational Resilience \n
- Capacity Improvement \n
- Resource Allocation \n
- Model Validation \n
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- Client Leadership \n
- Communication \n
- Business Development \n
- Team Leadership \n
- Commercial Awareness \n
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- Master's Degree \n
- PhD \n
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- Port Simulation \n
- Marine Logistics \n
- Terminal Operations \n
- Asset Management \n
- Defence Infrastructure \n
- Operational Environments \n
- Cross-Functional Teams \n
- Ethical Innovation \n
- Practical Recommendations \n
- High-Stakes Environments \n
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