Principal Specialist, BU Data Domain
At a Glance
- Category
- 💻 Technology
- Level
- Senior
- Type
- Full-time
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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 transformation initiatives.
6. Skills That Matter
Functional Expertise
Data Domain Management
Data Governance Frameworks
Data Quality Management
Data Product Development
Master and Reference Data Management
Data Architecture Fundamentals
Business & Delivery
Strategic Planning
Data Value Realization
Business Process Understanding
Project and Portfolio Delivery
Risk and Compliance Management
Performance Measurement and Reporting
People & Collaboration
Stakeholder Engagement
Influencing and Negotiation
Cross-Functional Collaboration
Communication and Presentation
Change Management
Knowledge Sharing and Capability Building
Requirements
- •Ability to shape and execute Corporate Functions Data Domain roadmap
- •Experience establishing governance frameworks, ownership models, and standards
- •Ability to improve data quality, consistency, accuracy, and traceability
- •Knowledge of enterprise data policies and regulatory obligations
- •Experience developing data products for reporting, analytics, and AI
- •Strong stakeholder management and business partnership skills
- •Ability to translate business requirements into scalable data capabilities
Responsibilities
- •Shape and execute the Corporate Functions Data Domain roadmap aligned with enterprise strategies
- •Prioritize data initiatives that maximize business value and operational efficiency
- •Establish and strengthen governance frameworks and controls across corporate function data assets
- •Monitor compliance with enterprise data policies and information management standards
- •Develop and enhance data products that support reporting, analytics, and automation
- •Build strong partnerships with corporate function leaders to understand data requirements
- •Influence data-driven decision-making through trusted insights and strategic recommendations
- •Identify opportunities to improve data processes, controls, and management practices
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Ma'aden is a Saudi Arabian mining and metals company developing the country's mineral resources. They focus on producing aluminum, gold, phosphates, and other industrial minerals.