Principal Specialist, BU Data Domain

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom. 1. Why This Role Matters The Principal Specialist, Corporate Functions Data Domain enables enterprise-wide value creation through the development, governance, and optimization of corporate function data assets. The role ensures trusted, high-quality, and accessible data that supports strategic decision-making, operational effectiveness, regulatory compliance, and digital transformation initiatives across corporate functions. By establishing strong data domain governance, standards, and stewardship practices, the role strengthens data integrity, improves business insight generation, and accelerates the organization's ability to leverage analytics, automation, and emerging technologies. The position acts as a critical bridge between business stakeholders and technology teams, ensuring data products align with business priorities and deliver measurable outcomes. The role contributes to Ma’aden's data-driven transformation agenda by enhancing data maturity, maximizing the value of enterprise information assets, and enabling scalable and sustainable data management practices across corporate functions. 2. What You Will Deliver Data Domain Strategy & Value Realization Shape and execute the Corporate Functions Data Domain roadmap aligned with enterprise data and digital strategies. Prioritize data initiatives that maximize business value, operational efficiency, and decision-making effectiveness. Translate business requirements into scalable data capabilities and products. Drive adoption of data domain services that increase business confidence in enterprise data. Data Governance & Quality Establish and strengthen governance frameworks, ownership models, standards, and controls across corporate function data assets. Improve data quality, consistency, accuracy, and traceability across critical business datasets. Monitor compliance with enterprise data policies, regulatory obligations, and information management standards. Resolve data risks and governance gaps to protect business integrity and decision quality. Data Products & Analytics Enablement Develop and enhance data products that support reporting, analytics, automation, and AI-driven use cases. Enable reliable access to business-critical data for stakeholders across corporate functions. Improve the availability, usability, and lifecycle management of data assets. Drive continuous enhancement of data products based on business needs and performance insights. Stakeholder Management & Business Partnership Build strong partnerships with corporate function leaders to understand priorities and data requirements. Align business and technology stakeholders around data value, governance, and product objectives. Influence data-driven decision-making through trusted insights and strategic recommendations. Foster collaboration across business units, data teams, and technology functions. Continuous Improvement & Innovation Identify opportunities to improve data processes, controls, and management practices. Accelerate adoption of modern data capabilities, analytics, and emerging technologies. Advance organizational data maturity through best practices and knowledge sharing. Deliver efficiency gains through standardized, scalable, and sustainable data solutions. 3. What Success Looks Like Improved data quality, consistency, and availability across corporate function domains. Increased adoption and business utilization of approved data products and assets. Strong compliance with enterprise data governance standards and regulatory requirements. Reduced data-related risks, duplication, and reconciliation effort. Faster access to trusted insights supporting strategic and operational decisions. Increased business stakeholder satisfaction with data services, products, and reporting capabilities. 4. Minimum Qualifications Bachelor's degree in Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related discipline. 5. Experience 10-12 years of experience in data management, data governance, analytics, or enterprise information management. Experience leading data domain, master data, or data product initiatives within large and complex organizations. Experience working with enterprise data governance frameworks and data quality management practices. Experience collaborating with business and technology stakeholders to deliver data-driven trans

Minimum Qualifications: Bachelor's degree in Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related discipline. Experience: 10-12 years of experience in data management, data governance, analytics, or enterprise information management. Experience leading data domain, master data, or data product initiatives within large and complex organizations. Experience working with enterprise data governance frameworks and data quality management practices. Experience collaborating with business and technology stakeholders to deliver data-driven trans

Data Domain Strategy & Value Realization: Shape and execute the Corporate Functions Data Domain roadmap aligned with enterprise data and digital strategies. Prioritize data initiatives that maximize business value, operational efficiency, and decision-making effectiveness. Translate business requirements into scalable data capabilities and products. Drive adoption of data domain services that increase business confidence in enterprise data. Data Governance & Quality: Establish and strengthen governance frameworks, ownership models, standards, and controls across corporate function data assets. Improve data quality, consistency, accuracy, and traceability across critical business datasets. Monitor compliance with enterprise data policies, regulatory obligations, and information management standards. Resolve data risks and governance gaps to protect business integrity and decision quality. Data Products & Analytics Enablement: Develop and enhance data products that support reporting, analytics, automation, and AI-driven use cases. Enable reliable access to business-critical data for stakeholders across corporate functions. Improve the availability, usability, and lifecycle management of data assets. Drive continuous enhancement of data products based on business needs and performance insights. Stakeholder Management & Business Partnership: Build strong partnerships with corporate function leaders to understand priorities and data requirements. Align business and technology stakeholders around data value, governance, and product objectives. Influence data-driven decision-making through trusted insights and strategic recommendations. Foster collaboration across business units, data teams, and technology functions. Continuous Improvement & Innovation: Identify opportunities to improve data processes, controls, and management practices. Accelerate adoption of modern data capabilities, analytics, and emerging technologies. Advance organizational data maturity through best practices and knowledge sharing. Deliver efficiency gains through standardized, scalable, and sustainable data solutions.