Roles & Responsibilities
Job Description & Requirements
Role Purpose
- The Data Management Engineer is responsible for managing the handover of project information and documentation to clients, ensuring compliance with agreed procedures.
- This role involves coordinating with various project teams and stakeholders to ensure data quality and adherence to information management requirements.
- The engineer will work closely with the Digital/IT team to set up project databases and tools, contributing to the development of enterprise-level data management systems.
- Additionally, the role includes monitoring data quality, identifying issues, and supporting stakeholders in resolving them.
Key Accountabilities
- General : Manage the Information and Data hand-over to the client of project information and documentation in accordance with the agreed procedures. Monitor all Information and Data interfaces with Client or other third parties to ensure requirements are addressed, and coordinate with adequate stakeholders if necessary.
- Coordination with stakeholders : Coordinate/Advise all the project teams (e.g. Engineering, Supply Chain, Completion & Commissioning, and subcontractors) to ensure information and data requirements are understood and complied with.
- Coordinate with Engineers or each discipline members to ensure the information/data quality within the schedule MODEC started to focus on complying with Information and Data Management requirements, and understanding from different departments/stakeholders are crucial, so we need someone who can really involve departments and work closely to build not only protocols but also an organizational understanding and culture towards Information and Data Management Coordinate with Digital/IT team to ensure that the
- Project DB and Tools are properly setup as per project requirement - Enterprise Data Platform/Data Management Program and Information and Data Management related tools are under development from scratch in MODEC, hence great collaborator to provide necessary input/feedback to Digital/IT team is required (need wholistic and long-term view to contribute to the enterprise level architecture, rather than solely standing on the project requirements view).
- Quality Assurance / Reporting : Identify issues related to data quality, and coordinate with/support stakeholders populating the data to eliminate the issues Monitor data quality KPIs to reflect the Project Information and Data Management status
