(Senior) Engineer, Domestic Asset Data Foundation

Job Purpose

(Senior) Engineer, Domestic Asset Data Foundation carries out critical role to develop/streamline domestic asset business data workflow by gathering business requirement from G1/61, G2/61, Arthit, onshore focal points as well as other business x-functional teams e.g. Drilling, Well Services, Subsurface, Engineering, Maintenance, etc, and provide recommendations/solutions per holistic domestic asset point of view to drive asset synergy thru data foundation where applicable. The recommendations/solutions include, but not limited to, unified data models across domestic assets, centralized databases, streamlined workflow, standardized data inputs/outputs as well as seamless data/app-business work process integration. They also need to support data driven organization sustainability by making sure up-to-date and reliable data are delivered to users via robust data quality assurance and data governance processes.

Key Accountabilities

• Summarize common and unique business requirement as well as business and data workflow by working with asset teams and x-functional teams. Provide recommendations to team per domestic asset point of view. 
• Drive asset synergy thru data foundation where applicable e.g. streamlined data inputs/output, centralized database, seamless data-business integration, etc. 
• Work with business teams to develop data quality management roadmap/framework and data quality assurance process. 
• Work with IT corporate to communicate changes and/or develop adoption plan to stakeholders to ensure data driven organization sustainability.
• Work with business and data analyst to QA/QC data model, making sure business logics are covered possible scenarios of data sets. 
• Provide business inputs to IT corporates to improve data/digital related e.g. data/digital governance, data/digital work processes, data/digital portfolio management, etc. 
• Coordinate with business users and IT to provide timely support to business users, troubleshooting/investigating data issues as needed basis at maintenance phase. 

Professional Knowledge & Experiences

• Background in Engineering or related degree. 
• 7+ years experience in E&P business (Petroleum development, Production Operations, Drilling and Completion, etc.)  
• Good understanding of data management, data/product architecture, data pipeline, data workflow, and relevant data/digital related to collaborate issues and recommendations with IT corporate, 3rd party vendor, and business users. 
• Proven ability to complete projects according to outlined scope, budget, and timeline. 
• Good communication skill and be resilience to manage changes. 
• SQL coding and data visualization development are a plus. 
• Excellent written and verbal communication skills both in English and Thai