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Hapag-Lloyd is seeking a Scheduling Data Control professional to identify and rectify data gaps, build knowledge of FIS3 workflows, and implement automation to streamline scheduling processes. You will monitor data quality, coordinate with multiple departments, and support continuous improvement of scheduling reliability.
The role emphasizes data handling, system literacy, and collaboration with Marine Operations and commercial teams to reduce errors and improve timeliness.
Identify and rectify schedule data gaps early to minimise operational, commercial, and customer impact.
Build strong working knowledge of FIS3 workflows, data logic, and system capabilities.
Support transition activities including workflow review, testing, validation, documentation, and post-implementation stabilisation.
Recommend practical improvements to simplify, standardise, and streamline scheduling work.
Identify repetitive manual tasks that can be automated, semi-automated, or supported by validation rules, reports, dashboards, or alerts.
Use exception-based monitoring to detect missing updates, inconsistencies, late amendments, and other data quality issues.
Coordinate and communicate clearly with Marine Operations, Network Execution, Terminal Performance, Commercial, Customer Service, partner lines, and relevant stakeholders.
Diploma or Degree in Marine Studies, Logistics, Supply Chain, Maritime Business, Information Systems, or related field, with 3–5 years of relevant experience; equivalent working experience may be considered.
Experience in vessel operations, scheduling, marine operations, or related functions.
Knowledge of FIS / FIS3 scheduling processes, or ability to learn system workflows quickly.
Good understanding of schedule data, voyage structures, vessel particulars, RVT, DP voyages, ETA, ETB and ETD logic.
Proficient in Microsoft Office, especially Excel.
Basic to intermediate automation literacy, such as Excel VBA, Python, Power Query, Power Automate, SQL, or equivalent tools.
Able to understand process logic, data validation rules, exception handling, and simple automation concepts.
Strong attention to detail, structured working style, and clear stakeholder communication.