5-7 years of experience in subsurface data management within Exploration & Production environments
Proficient in SLB Petrel and Studio for managing well and seismic data
Strong understanding of subsurface data workflows and associated data types
Familiarity with upstream business operations and regulatory obligations
Knowledge of data management concepts, standards, and tools
Experience in data quality management and corporate repositories
Technical experience with tools like Techlog is a plus
Responsibilities
Lead the development of the subsurface data landscape
Manage client requirements for well and seismic data throughout the data lifecycle
Facilitate collaboration between Geoscience teams and Data Management functions
Conduct data quality assessments and ensure consistency across projects
Deliver data management services for Exploration & Production applications
Maintain accurate and accessible corporate subsurface databases
Regularly update data inventories to support consistency and optimization
Benefits
Opportunity to work in a senior, hands-on role
Engagement with cross-functional teams in a collaborative environment
Access to advanced data management tools and technologies
Potential for professional development in data management practices
Contribution to high-quality data governance and standards
Full Job Description
About the role:
As a Senior Subsurface Data Manager, you will take a leading role in managing and developing the subsurface data landscape within a client environment, supporting Geoscience and Exploration teams with high-quality, accessible and reliable data. Working across well and seismic data, you will manage key activities throughout the data lifecycle, including data receipt, loading, conversion, transfer, quality control and archiving.
You will act as an important interface between the Geoscience community and Data Management teams, helping ensure data is managed consistently and effectively across projects and corporate repositories. This is a senior, hands-on role requiring strong subsurface data management expertise alongside the ability to advise stakeholders, establish best practice and maintain high standards of data quality and governance.
As a Senior Subsurface Data Manager, you will:
Advise on and lead the development of the subsurface data landscape
Manage client requirements for Exploration and Geological Well & Seismic data, including data receipt, loading, conversion, transfer, quality control and archiving
Act as a key interface between Geoscience teams and Data Management functions, ensuring effective collaboration and alignment
Conduct data quality assessments, apply agreed standards and ensure data consistency and synchronisation across projects and corporate repositories
Deliver well and seismic data management services supporting E&P applications
Maintain high-quality corporate subsurface databases and ensure information remains accurate and accessible
Maintain and regularly update data inventories, applying agreed standards to support consistency and optimisation
Support effective data lifecycle management and adherence to relevant operator and regulatory obligations
Provide guidance and expertise to stakeholders on subsurface data management practices, standards and processes Requirements
Requirements
Proven experience managing subsurface data within Exploration & Production (E&P) environments
Strong working knowledge of SLB Petrel and Studio, including the loading and management of well and seismic data
Strong understanding of well and seismic data and associated subsurface data workflows
Good understanding of upstream business operations
Strong knowledge of data management concepts, standards, practices, tools and technologies
Experience of data quality management, corporate repositories and data lifecycle management Understanding of operator regulatory obligations relating to subsurface data
Experience with data management tools and technical subsurface applications, such as Techlog, would also be advantageous
Excellent communication and collaboration skills, with the ability to work effectively across Geoscience, Data Management and wider stakeholder groups
