Ma'adenPrincipal Specialist, Exploration & Project Development & Engineering Data Domain
Ma'aden is hiring a Principal Specialist, Exploration & Project Development & Engineering Data Domain in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
AI in this role
Shape the data strategy and governance for exploration and petroleum development, enabling advanced analytics and AI initiatives.
1. Why This Role Matters
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.
2. What You Will Deliver
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.
3. What Success Looks Like
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.
4. Minimum Qualifications
Bachelor's degree in Geoscience, Petroleum Engineering, Computer Science, Information Systems, Data Management, or a related discipline.
5. Experience
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.
6. Skills That Matter
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
Benefits
1. Career Growth2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness
How we rate this
Principal Specialist, Exploration & Project Development & Engineering Data Domain at Ma'aden rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
- Tell me about a project where data management was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, Data Strategy, Data Management, Stakeholder Management, and Data Quality. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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