Data Steward ECT

Our client is a global multi-energy company operating large-scale refining and petrochemical facilities. It transforms crude oil into fuels and essential industrial products through highly integrated and technologically advanced operations. The organisation is recognized for its strong HSE culture, operational excellence, and commitment to reducing environmental impact. Joining the company means contributing to complex international projects within a high-performance industrial environment. Job Description Sure — I’ve kept the sentences exactly the same and only added bullet points and bolded the key points. 1. Data governance and stewardship • Implement the approved AMIRAL data governance model within the assigned scope. • Maintain data ownership, stewardship, technical custody, validation and approval responsibilities. • Document critical data objects, definitions, business rules, sources, uses and quality expectations. • Support governance reviews, audits and action plans. 2. Data quality and controls • Define and operate checks for data completeness, validity, uniqueness, consistency, integrity, timeliness and traceability. • Establish and apply acceptance criteria and quality thresholds with Engineering stakeholders. • Produce quality reports identifying missing, invalid, duplicated or inconsistent records. • Log, prioritize, assign, track and close issues with evidence. • Recommend preventive controls at source. 3. Contractor and vendor data exchange • Coordinate recurring submissions with EPCC Contractor Data Managers and engineering teams. • Verify submissions follow approved templates, formats, tagging conventions and required attributes. • Provide or obtain timely clarification to reduce rework and delays. • Load or coordinate accepted data into the Digital Twin environment. • Maintain an auditable register of submissions, rejections, comments and approvals. 4. Digital Twin and master/reference data • Maintain package data in the AMIRAL Digital Twin and related engineering-data environment. • Apply the approved Asset Reference Data Library, master data model, classes and tag rules. • Route AMIRAL-specific model changes through validation and change control. • Support mappings, transformations and controlled bulk uploads. • Coordinate platform issues, backups and data-security requirements. 5. Reporting, support and handover • Maintain weekly and monthly reporting on submissions, data quality, backlog, progress and risks. • Support package reviews, audits and cross-package consistency checks. • Train and support users on templates, quality expectations and Digital Twin processes. • Prepare governed, protected and maintainable data for commissioning, operations and final handover. • Capture lessons learned across the AMIRAL Data Steward network. ACCOUNTABILITIES • Provide a consistent and traceable data set enabling AMIRAL Digital Twin use cases and downstream databases. • Protect project data and preserve usability and maintainability through execution and handover. • Ensure findings are evidenced, communicated, assigned and followed to verified closure. • Escalate material data-quality, schedule, security or ownership risks promptly. • Maintain an audit trail of submissions, checks, decisions, changes and approvals. • Comply with HSE, information security, confidentiality and records-management requirements. CONTEXT & ENVIRONMENT TotalEnergies and Saudi Aramco are developing a new petrochemicals expansion project in the Kingdom of Saudi Arabia integrated with their existing joint venture SATORP (62.5% Saudi Aramco / 37.5% TotalEnergies) that is a world-class refinery operated since 2014. It is flagship megaproject for the two Companies, referred to as AMIRAL project, and is an important deployment step in the group strategy to develop fully integrated production sites. The AMIRAL project is a highly complex petrochemicals program including multi EPCC packages, connected to the SATORP refinery and interfacing with several downstream new investors and several third-party stakeholders located in the industrial area Jubail 1&2 and King Fahd Industrial Port. The project includes a mixed-feed steam cracker that will produce 3.5 MT/y of chemicals, related high added value petrochemicals and HDPE units, with all supporting utilities, storages, off-sites, and buildings. The overall CAPEX of the project is > $ 10.0 Bn. The execution of the packages (EPCC Lump Sum Contracts) is supervised by the shareholders through an integrated project management team (PMT) staffed by secondees from TotalEnergies, Saudi Aramco, and external supplemental employees handling all aspects of project management and execution. The PMT is divided into a general entity and EPCC packages with PMT representatives overseeing EPCC Contractor activities. The PMT team is based in Jubail industrial area, adjoining the construction site. Data Stewards are part of the Engineering Core Team (ECT), part of the PMT general entity. ECT includes specialists the main project engineering disciplines, supporting the project organization in the EPCC packages in all technical matters including HSE, engineering, procurement, construction, commissioning, delivery of the Amiral Digital Twin etc… Data Stewards report to the Amiral Digital Officer. Qualifications Education and experience • Engineering, data management, information systems, maintenance, operations or a related technical qualification. • Oil and Gas, petrochemical or major capital-project experience involving engineering data and technical databases. • Experience with engineering authoring tools, EDMS, completion/commissioning systems, CMMS, maintenance or production databases.

Engineering, data management, information systems, maintenance, operations or a related technical qualification. Oil and Gas, petrochemical or major capital-project experience involving engineering data and technical databases. Experience with engineering authoring tools, EDMS, completion/commissioning systems, CMMS, maintenance or production databases.

Data governance and stewardship; Maintain data ownership, stewardship, technical custody, validation and approval responsibilities; Document critical data objects, definitions, business rules, sources, uses and quality expectations; Support governance reviews, audits and action plans; Data quality and controls; Define and operate checks for data completeness, validity, uniqueness, consistency, integrity, timeliness and traceability; Establish and apply acceptance criteria and quality thresholds with Engineering stakeholders; Produce quality reports identifying missing, invalid, duplicated or inconsistent records; Log, prioritize, assign, track and close issues with evidence; Recommend preventive controls at source; Contractor and vendor data exchange; Coordinate recurring submissions with EPCC Contractor Data Managers and engineering teams; Verify submissions follow approved templates, formats, tagging conventions and required attributes; Provide or obtain timely clarification to reduce rework and delays; Load or coordinate accepted data into the Digital Twin environment; Maintain an auditable register of submissions, rejections, comments and approvals; Digital Twin and master/reference data; Maintain package data in the AMIRAL Digital Twin and related engineering-data environment; Apply the approved Asset Reference Data Library, master data model, classes and tag rules; Route AMIRAL-specific model changes through validation and change control; Support mappings, transformations and controlled bulk uploads; Coordinate platform issues, backups and data-security requirements; Reporting, support and handover; Maintain weekly and monthly reporting on submissions, data quality, backlog, progress and risks; Support package reviews, audits and cross-package consistency checks; Train and support users on templates, quality expectations and Digital Twin processes; Prepare governed, protected and maintainable data for commissioning, operations and final handover; Capture lessons learned across the AMIRAL Data Steward network; Ensure consistent and traceable data set enabling AMIRAL Digital Twin use cases and downstream databases; Protect project data and preserve usability and maintainability through execution and handover.