Unclassified - Houston, TX

posted 2 months ago

Full-time
Houston, TX
11-50 employees

About the position

Transocean is committed to being the employer of choice in the drilling industry, and we are constantly challenging ourselves to enhance our performance through technological advancements and a passion for our work. The position is responsible for the daily review of the company's failure data reporting, driving the forensic process and analytical studies, and ensuring the development and tracking of corrective actions are deployed fleet-wide. This role requires a proactive approach to analyzing data, identifying trends, and developing corrective action plans to enhance the reliability of our drilling operations. Key responsibilities include planning and executing data analytics projects in collaboration with various departments such as Engineering, Technical Services, Operations Assurance, Sustainability, and Equipment Manufacturers. This involves overseeing all phases of projects from conception to implementation, ensuring alignment with company policies and project objectives. The role also entails reviewing technical events and their root causes, coordinating the implementation of analytics models based on historical events, and identifying opportunities to utilize AI for enhancing maintenance strategies. Additionally, the position requires following up with the fleet on equipment alarms, coaching and training the workforce on the usage of dashboards and analytics to monitor equipment health and operational requirements. The successful candidate will coordinate and monitor the integration of data applications to the CMMS, ensuring the correct flow of automatic processes and their adoption by the fleet. Working directly with IT to monitor equipment data uptime and maintaining the required data setup in the asset framework is also a critical aspect of this role. Reporting and communicating internally about potential models and ongoing progress on Data Analytics initiatives, as well as coordinating both internal and external meetings to ensure alignment on analytics and reliability initiatives, are essential functions of this position.

Responsibilities

  • Plan and execute data analytics projects in collaboration with Engineering, Technical Services, Operations Assurance, Sustainability, Operations and Equipment Manufacturers.
  • Review technical events and their root causes to identify and coordinate the implementation of analytics models based on historical events to be deployed fleet-wide.
  • Identify opportunities to utilize AI to combine machine data and technical event reports to enhance maintenance strategies.
  • Follow up with the fleet on equipment alarms, coaching and training the workforce on the usage of dashboards and analytics to monitor equipment health and operational requirements.
  • Coordinate and monitor the integration of data applications to the CMMS to ensure the correct flow of automatic processes and their adoption by the fleet.
  • Work directly with IT to monitor equipment data uptime and maintain required data setup to date in the asset framework.
  • Report out and communicate internally the potential models and ongoing progress on Data Analytics initiatives.
  • Coordinate and support both internal and external meetings to ensure alignment on analytics & reliability initiatives and trends focusing on leading and lagging indicators.

Requirements

  • Bachelor's degree in engineering, computer science or a related field.
  • Minimum of 5 years' experience in rig operations, analytics and basic programming.
  • Specific technical knowledge related to Rig Operations is required.
  • Good knowledge of project management techniques including planning, budget control, contract administration and resource management.
  • Familiarity with drilling industry techniques is required.

Nice-to-haves

  • Further 5 to 10 years' experience in engineering, field support or operation of various types of offshore units with past experience in coding and analytics.
  • Strong knowledge of project management.
  • Excellent verbal and written communication skills.
  • High familiarity with different classes of drilling rigs and operations.
  • Knowledge of drilling equipment and experience in programming and data analytics.
  • Strong leadership skills and ability to work cross-functional.
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