National Scheduling Principal - Infrastructure Delivery

NZ Transport Agency Waka Kotahi; Napier; On-site; NZD 120,000 - 180,000; Full time

Job summary

NZ Transport Agency Waka Kotahi is seeking a Scheduling Principal Specialist to lead scheduling best practice across national infrastructure programmes. You will provide expert advice, assurance and coaching to project teams and senior stakeholders, helping improve planning quality, forecast accuracy and decision-making through clear schedule insights.

You’ll work with project controls, risk and delivery specialists to identify critical path risks and strengthen forecasting confidence, enabling

Qualifications

• Experienced project controls or scheduling professional
• Robust planning, forecasting and critical path analysis
• Experience developing and assuring complex infrastructure schedules
• Strong analytical and forecasting capability
• Ability to communicate complex information to both technical and non-technical audiences
• Collaborative approach and passion for building capability

Responsibilities

• Lead scheduling best practice across projects and programmes
• Provide expert advice, assurance and coaching to project teams and senior stakeholders
• Identify critical path risks and improve forecasting confidence
• Strengthen decision-making through high-quality schedule insights
• Collaborate with project controls, risk and delivery specialists

Skills

Scheduling leadership

Critical path analysis

Forecasting capability

Complex infrastructure planning

Communication to audiences

Capability building

Tools

Primavera P6

Job description

NZ Transport Agency Waka Kotahi is seeking a Scheduling Principal Specialist to lead scheduling best practice across national infrastructure programmes. You will provide expert advice, assurance and coaching to project teams and senior stakeholders, helping improve planning quality, forecast accuracy and decision-making through clear schedule insights.

You’ll work with project controls, risk and delivery specialists to identify critical path risks and strengthen forecasting confidence, enabling