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Ma'aden Aluminium Company (MAC) seeks a Principal Specialist Exploration & PDE Data Domain to shape strategy for subsurface data assets. You will drive governance, data product development and cross-functional collaboration to unlock business value through trusted, accessible data.
Lead in data architecture, stewardship and advanced analytics initiatives, enabling AI-enabled decision making and digital transformation across the enterprise.
The Principal Specialist Exploration & PDE Data Domain shapes the strategic management governance and value realization of Exploration and Petroleum Development & Evaluation PDE data assets across the organization. The role ensures that critical subsurface geological geophysical drilling reservoir and related technical data are trusted accessible secure and aligned with business priorities. The role creates business value by enabling data-driven decision making improving data quality and consistency accelerating digital initiatives and maximizing the return on data investments. Through strong domain stewardship and collaboration with business and technology stakeholders the role strengthens operational performance supports innovation and enhances organizational data maturity. The position plays a key role in establishing data domain capabilities that drive exploration success improve resource evaluation outcomes reduce information risk and enable advanced analytics artificial intelligence and digital transformation initiatives across the enterprise.
Data Domain Strategy & Enablement Shape and execute the Exploration & PDE data domain strategy aligned with enterprise data and digital objectives. Establish a scalable data domain framework that improves data accessibility usability and business value. Drive prioritization of data initiatives that support exploration evaluation and resource development objectives. Data Governance & Quality Strengthen governance practices that ensure data integrity consistency ownership and regulatory compliance. Deliver measurable improvements in data quality through standards controls and stewardship processes. Govern critical data assets across their lifecycle to improve reliability and reduce operational risk. Data Products & Value Realization Lead the development and enhancement of data products that enable operational and strategic decision making. Increase adoption of trusted data assets across technical and business functions. Translate business requirements into scalable data solutions that generate measurable business outcomes. Technical Leadership Provide expert guidance on exploration geological geophysical drilling reservoir and subsurface data management practices influence enterprise data architecture decisions to improve interoperability and domain integration promote industry-leading practices technologies and methodologies across the data ecosystem. Stakeholder Management & Collaboration Build strong partnerships between business functions digital teams and external partners to align priorities and outcomes facilitate effective decision making through clear data ownership accountability and governance structures strengthen collaboration across domains to improve enterprise-wide data consistency and effectiveness. Innovation & Continuous Improvement Accelerate the adoption of advanced analytics automation AI and digital capabilities through high-quality domain data. Identify opportunities to optimize processes reduce manual effort and improve data lifecycle efficiency foster a culture of continuous improvement and data-driven performance.
Improved data quality consistency and trust across Exploration and PDE data assets. Increased utilization of data products for operational and strategic decision making. Enhanced compliance with data governance standards policies and regulatory requirements. Reduced data-related risk and improved data lifecycle management effectiveness. Faster delivery of digital analytics and AI initiatives enabled by trusted domain data. Strong stakeholder satisfaction and clear ownership of critical business data assets.
Bachelor s degree in Geoscience Petroleum Engineering Computer Science Information Systems Data Management or a related discipline.
10 15 years of relevant experience in exploration subsurface petroleum development data management or digital transformation environments. Demonstrated experience in data governance data domains master data or enterprise data management frameworks. Experience leading cross-functional data initiatives and delivering business-focused data solutions. Experience working within large-scale energy mining natural resources or industrial organizations.
Functional Expertise Exploration and Subsurface Data Management Petroleum Development & Evaluation Data Data Governance and Stewardship Data Architecture and Data Modeling Data Quality Management Data Products and Data Lifecycle Management Business & Delivery Strategic Planning Digital Transformation Data Product Delivery Business Value Realization Risk Management Performance Improvement People & Collaboration Stakeholder Engagement Influencing and Negotiation Cross-Functional Leadership Communication and Presentation Change Management Collaboration and Relationship Building.