The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.
Title:
Data Manager, Information ManagementJob 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.
Top Skills
Aveva Engineering
Aveva Ism
Smartplant Foundation
SQL
Sql Server Reporting Services
VBA
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