OQ
Lead, Data Management (Subsurface & Reservoir Data, AI/ML Focus)
- Permanent
- Muscat, Oman
- Experience 5 - 10 yrs
Job overview
Date posted
01/09/2025
Location
Muscat, Oman
Salary
Undisclosed
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
16/10/2025
Job description
Provide strong technical support on Data Management at Upstream Operated Assets – Planning & Performance, acting as expert owner of Data Management standards. Responsibilities include interfacing with specialized vendors to receive, quality check, store, and publish Well, Log, and Reservoir data; interfacing with government to maintain relevant databases; developing AI and machine learning tools to optimize cost and production; and using data science to analyze subsurface and engineering data. This position operates in line with group policies, IT platforms, HSE standards, and national/international best practices.
Required skills
data management
well data
log data
reservoir data
data science
machine learning
neural networks
AI
Documentum D2
WebGIS
large datasets
live data sources
data types
Python
coding languages
SAP
APEX
SQL
C++
Java
mobile app development
Key responsibilities
- Execute end-to-end process for the maintenance of all existing Subsurface Databases
- Execute end-to-end process for well and reservoir data in share drives
- Work with Vendors to receive, QC, store and publish the relevant Well, Log and Reservoir data
- Ensure and participate in the development and implementation of the upstream technical data operating model/data frameworks including governance and quality guidelines
- Define and govern data stewardship for upstream technical data to ensure governance compliance and accountability
- Participate in development of upstream technical data strategy, governance initiatives, policies, structures, and procedures
- Promote awareness of general data management principles through sessions and training
- Develop and execute data science projects using machine learning and other techniques
- Work with vendors on new technologies related to data analysis and AI
Experience & skills
- Bachelor’s degree in Computer Science, Information Technology, or Engineering (preferably in subsurface discipline); postgraduate degree is preferable
- 8+ years of experience in information technology and relevant business disciplines
- Experience in Document management applications like Documentum D2
- Experience in WebGIS application
- Experience in handling large data sets
- Experience in handling live data sources
- Experience in handling different data types
- Experience with machine learning, neural networks and AI
- Computer literacy including MS Office
- Experience in Python and/or other coding languages
- Experience in managing large datasets
- SAP experience is a plus
- APEX/SQL experience is a plus
- C++ and Java experience is a major plus
- Experience in mobile app development is a major plus
- Excellent English proficiency; Arabic desirable