ROV Supervisor - United Kingdom

Job Description

Responsible for supervising the operation of as required for Oceaneering Subsea Robotics Equipment Operations (Remotely Operated Vehicles, IWOCS and RWOCS Systems, Tensioning and Reel Systems) in a safe and efficient manner, to include the maintenance, repair and troubleshooting of all electronic, electrical, mechanical, and hydraulic systems and sub-systems.

Responsibilities

• Responsible for operating and training of operators of Remotely Operated Vehicles, Workover Control Systems, Tensioning Systems and Reel Systems.
• Supervise the maintenance and repairs on electrical, hydraulic, and mechanical units/equipment, the use of test equipment, calibration and alignment, and the performance of general housekeeping and corrosion control.
• Manage crew and customer work scheduling.
• Maintain communications and good relations with offshore work location leadership, crew and fellow Oceaneering crew members, write reports, and maintain records.
• Manage and support all required safety programs of Oceaneering and Oceaneering clients.
• Integrate system modifications (advanced skills): design, build, and interface electrical and hydraulic systems, maintain technical documentation, and design and construct mounting systems.
• Able to direct the integration of and guide in operation of all tooling including but not limited to cutters, pump units, multipurpose skids, dredging systems, standalone sensory systems, and any other tooling integrated to the Remotely Operated Vehicle.
• Maintain parts and supplies inventories associated with all electrical, electronic, mechanical, and hydraulic assemblies and subassemblies.

Supervisory Responsibilities

This position has supervisory responsibilities.

Required qualifications

• A minimum of three (3) to five (5) years offshore operations experience and completion of all competencies as dictated by Competency System.
• Must be able to obtain a valid Passport and any other regionally mandated offshore work requirement documents as appropriate.

Preferred qualifications

• Technical/Associates degree or higher.
• Knowledge, Skills, Abilities, and Other Characteristics
• Knowledge of appropriate steps to analytical problem solving.
• Ability to establish and maintain cooperative working relationships.
• Ability to work in a team environment, remaining attentive to ideas, recognizing responsibilities, and actively participating with others to accomplish assignments and achieve desired goals.
• Treats others fairly and with respect.
• Knowledge of department's policies, rules, regulations, business goals, vision, organizational structure, culture, philosophy, operating principles, and values, etc.
• Ability to establish and maintain project priorities.
• Seeks out new learning experiences.
• Identifies what needs to be done and takes action before being asked or required.

About Us

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.

About The Team

As one of the largest providers of Remotely Operated Vehicles (ROVs), Oceaneering offers cost-effective, innovative solutions to solve our customers’ most complex challenges. With 99% uptime, our vehicles offer tough, reliable service for the full asset life cycle anywhere in the world – from development through to decommissioning. With a focus on secure remote operations, we can assure any operation, including rig moves, subsea monitoring, inspection, and more. With our next generation of subsea vehicles, such as the Liberty™ E-ROV and Freedom™ AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance.

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