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ROV Data Processing Manager

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Onsite

ROV Data Processing Manager

People Dynamics

ROV Data Processing Manager

2 months ago

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Important information


Contract type:

Permanent

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

31 August 2026

What they need


  • Degree in Marine Technology, Geomatics, Ocean Engineering, or related field
  • Expertise in ROV data processing software (e.g., Coda Octopus, EIVA, AutoCAD, ArcGIS, or equivalent)
  • Experience 8–12 years in ROV operations and/or subsea survey data processing; 3+ years in supervisory role
  • IMCA competency framework awareness; offshore safety training (BOSIET/HUET) if offshore-deployed; client specific data management certifications advantageous
  • Manage the ROV data processing function, overseeing the quality, integrity, and timely delivery of all ROV acquired data products including video, sonar, positioning, and inspection data across multiple concurrent projects.
  • Leads the data processing team, sets quality standards, and is the technical point of accountability for processed data deliverables submitted to clients.
  • Lead and manage the ROV data processing team, assigning workloads, setting standards, and overseeing output quality across all active projects
  • Oversee processing and QC of ROV-acquired data including inspection video, sonar imagery, pipeline and structure positioning, and CP data
  • Establish and maintain data processing workflows, software standards, and quality control procedures
  • Manage data deliverable schedules ensuring timely submission of processed products to clients and project teams
  • Liaise with ROV supervisors, survey teams, and project managers to align data requirements with acquisition and processing timelines
  • Review and approve final data deliverables including inspection reports, GIS datasets, and client-specific data formats
  • Manage software licensing, hardware infrastructure, and system capability for data processing operations
  • Support client meetings and technical presentations on data processing methodology, quality, and deliverables
  • Mentor and develop data processing personnel, identifying training needs and competency development opportunities

Work Location: In person

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