Data Manager, Information Management job opportunity at KBR.

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KBR Data Manager, Information Management
Experience: 10-years
Pattern: full-time
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Information Management

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loacation Singapore, Singapore, Singapore
loacation Singapore, Sin..........Singapore

Title: Data Manager, Information Management Job Responsibilities: Manage engineering project data, including collecting information from multiple sources and distributing it to relevant stakeholders. Configure and implement engineering data warehouse systems (e.g., SmartPlant Foundation, Aveva Engineering, Aveva ISM) and data exchange interfaces between engineering tools and the data warehouse. Set up and maintain tag and data progress measurement systems, as well as tag/data register exports. Understand client and internal requirements for data collection, conditioning, reporting, and turnover. Configure data repositories to meet project needs and coordinate with discipline leads on application usage and data flow. Manage data interfaces between engineering applications and repositories across internal and external locations. Resolve data inconsistencies, errors, mapping issues, and tagging queries in collaboration with project disciplines. Perform data cleanup to ensure accuracy and consistency. Export data for internal use and client deliverables in required formats. Review vendor data for completeness and accuracy from a data collection perspective. Train and support project teams on data management tools and reporting. Oversee project close-out activities for data management systems and ensure seamless data turnover to the client. Support detailed engineering design and ensure compliance with contractual data turnover requirements. Job Requirements: Bachelor’s degree in Engineering or a related field. Minimum 10 years of experience in Oil & Gas offshore/onshore projects with hands-on involvement in project data management. Strong understanding of project execution and ability to develop and implement data management plans. Experience leading a team of data controllers and providing guidance. In-depth knowledge of: Class libraries, naming rules, and attribute data definitions. Tagging philosophy and implementation. Data collection, validation, and exchange methods. Tag and data progression planning. Engineering and supplier tag/data management. Engineering software systems and tools. Proficiency in engineering data warehouse systems (SmartPlant Foundation, Aveva Engineering, Aveva ISM). Strong skills in database management, SQL development, VBA, and SQL Server Reporting Services.

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