채용회사 : 외국계 IT컨설팅사 
근무지 : 다국적 정유회사 (여수)
조건 : 1년 계약직(기간 연장 가능)
처우 : 협의 

Job Description: Onsite SME
seeking a highly experienced local Subject Matter Expert (SME) based in Korea to act as a critical bridge between the client stakeholders and  offshore teams. The SME will leverage deep domain expertise in refining/ downstream operations to translate client requirements into clear functional and technical specifications for solution development. SME will be responsible to drive output from cross- functional teams and present outcomes to the client.
 

• Serve as the primary on-ground liaison with refinery stakeholders-Lead workshops, requirement discussions, and solution walkthroughs
• Coordinate closely with offshore teams for requirement clarification, issue resolution, and delivery tracking

• Drive end-to-end execution and ensure timely, high-quality outputs from cross-functional teams

• Review solution outputs and ensure alignment with customer expectations
• Support UAT, and validation activities, ensuring smooth customer walkthroughs and timely signoffs
• Proactively track requirements, risks, and dependencies, and ensure timely resolution and communication
• Identify scope changes, gaps, and improvement opportunities, and support discussions with client for alignment
• Ensure comprehensive documentation, structured communication, and systematic tracking of follow-ups across onsite and offshore teams

 

• Bachelor’s / master’s degree in chemical engineering/ petroleum engineering, or related field
• 10–15+ years of experience in refinery operations, process engineering, energy management or energy optimization programs
• Strong understanding of refinery processes and digital/analytics applications in refining
• Proven experience in client-facing roles and stakeholder management
• Fluency in Korean and English. 
• Experience working with cross-functional and global teams
• Strong analytical, communication, and problem-solving skills

• Experience with Industry 4.0 / Digital transformation/ Energy management/ Energy optimization solutions
• Exposure to AI/ML-driven optimization or digital transformation initiatives
• Knowledge of energy and emissions KPIs (EII, EFOBD, GHG)