Network CI Lead - Data-Driven Improvement Specialist

New Zealand Post; Howick; On-site; NZD 120,000 - 150,000; Full time

Job summary

NZ Post in East Tamaki, Auckland seeks a Senior Continuous Improvement Specialist - Network to drive end-to-end network performance improvements across our Customer Service Delivery network. You will lead diagnostics, uncover opportunities and deliver targeted initiatives that enhance safety, service and cost outcomes across the business.

Working closely with operational and network teams, you will apply systems thinking, data analysis and structured problem-solving to identify root causes and

Qualifications

• Lean Six Sigma Black Belt certification.
• Experience applying CI methodologies within logistics or supply chain.
• Strong analytical and problem-solving capability.
• Ability to translate data into actionable insights.

Responsibilities

• Lead network-wide continuous improvement initiatives that improve safety, service and cost performance.
• Conduct end-to-end diagnostics, value chain analysis and performance reviews to identify improvement opportunities.
• Use data and systems thinking to diagnose complex network challenges and develop practical solutions.
• Partner with operational leaders to implement scalable and sustainable improvements.
• Influence stakeholders through data-led recommendations and structured problem-solving approaches.
• Define, track and sustain measurable benefits for long-term improvement.

Skills

Data analysis

Systems thinking

Problem solving

Stakeholder influence

Education

Lean Six Sigma Black Belt

Job description

NZ Post in East Tamaki, Auckland seeks a Senior Continuous Improvement Specialist - Network to drive end-to-end network performance improvements across our Customer Service Delivery network. You will lead diagnostics, uncover opportunities and deliver targeted initiatives that enhance safety, service and cost outcomes across the business.

Working closely with operational and network teams, you will apply systems thinking, data analysis and structured problem-solving to identify root causes and