Vessel Schedule Optimizer & Operations Liaison

Hapag-Lloyd AG

Singapore

On-site

SGD 70,000 - 110,000

Full time

2 days ago
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Job summary

Hapag-Lloyd AG is seeking a Network Execution professional to manage vessel schedules across regions. Responsibilities include creating and updating coastal schedules, monitoring ETA, and coordinating canal transit bookings with local agents to maintain schedule integrity.

The role emphasizes data-driven decisions, performance monitoring, and collaboration with internal teams, vessels, and partners to optimize network deployment and service levels.

Qualifications

  • Bachelor’s degree in business, logistics or related field is required.
  • Proven experience in network execution, vessel scheduling, or similar roles in shipping/logistics.
  • Strong understanding of vessel operations, schedule optimization, and performance monitoring.
  • Excellent communication to liaise with internal teams, vessels, partners and agents.

Responsibilities

  • Create and update coastal schedules, collaborating with regions to optimize vessel schedules.
  • Review vessel positions against the schedule during sea passages and ensure alignment and timely arrivals.
  • Monitor ETA of incoming vessels and provide regular updates to internal teams and stakeholders.
  • Coordinate canal transit bookings (Panama, Suez) with local agents to ensure smooth passage.
  • Trigger recovery actions to bring vessels back on schedule and support performance improvements.
  • Provide input for Proforma design, schedule reviews, and deployment decisions across regions.

Skills

Vessel scheduling
Network execution
Data analysis
Communication
Coordination
Adaptability

Education

Bachelor’s degree in business, Logistics, or related field

Tools

Fleet Information Systems (FIS)

Job description

Hapag-Lloyd AG is seeking a Network Execution professional to manage vessel schedules across regions. Responsibilities include creating and updating coastal schedules, monitoring ETA, and coordinating canal transit bookings with local agents to maintain schedule integrity.

The role emphasizes data-driven decisions, performance monitoring, and collaboration with internal teams, vessels, and partners to optimize network deployment and service levels.

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