Principal Specialist, BU Data Domain
Ma'aden is hiring a Principal Specialist, BU Data Domain in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.
AI in this role
Own a business unit's data domain to ensure trusted data quality and support analytics and AI-driven initiatives.
Why This Role Matters
The Principal Specialist, BU Data Domain serves as the accountable owner of a Business Unit's data domain, ensuring that data is trusted, governed, consistent, and aligned with both operational requirements and enterprise standards. The role enables accurate decision-making, meaningful performance measurement, and scalable analytics by establishing clear ownership of domain data, KPIs, and business definitions.
By strengthening governance, data quality, and semantic consistency across the domain, the role ensures that business-critical data products can be confidently used across reporting, operational management, analytics, and AI-driven initiatives. The position acts as the bridge between business operations and enterprise data capabilities, translating business needs into structured and reusable data assets.
The role also drives enterprise alignment by representing the Business Unit in governance forums, influencing cross-domain standards, and ensuring local business requirements are integrated into Ma’aden’s broader data and digital strategy without compromising consistency or control.
What You Will Deliver Domain Ownership & Data Integrity- Establish clear ownership and accountability for domain data, business definitions, and performance metrics.
- Strengthen the quality, consistency, and fitness-for-purpose of domain data across business processes and systems.
- Ensure domain data accurately reflects operational realities, business requirements, and regulatory obligations.
- Enable the development of trusted and reusable data products that support operational excellence, analytics, and AI use cases.
- Translate Business Unit requirements into scalable data solutions that deliver measurable business value.
- Improve access to reliable data that supports decision-making, performance management, and business planning.
- Drive adoption of enterprise data governance standards while ensuring relevance to Business Unit needs.
- Align domain practices with enterprise architecture, data policies, and cross-domain governance requirements.
- Strengthen consistency of data definitions, KPIs, and reporting frameworks across the organization.
- Serve as the primary data representative for the Business Unit on strategic data matters.
- Influence business and technical stakeholders to achieve alignment on data priorities, standards, and outcomes.
- Facilitate data-driven decision-making through clear communication and governance leadership.
- Improve data quality performance through proactive monitoring, issue resolution, and stewardship practices.
- Lead initiatives that enhance data reliability, usability, and business confidence.
- Drive continuous improvement of domain governance, data management practices, and value realization.
- Domain data is trusted, accurate, and consistently used across reporting, analytics, and operational processes.
- Business definitions, KPIs, and data standards are clearly defined and adopted across stakeholders.
- Data quality issues are proactively managed and resolved with measurable improvement in data reliability.
- Domain data products support business objectives, analytics requirements, and AI initiatives.
- Business Unit priorities are effectively represented within enterprise governance and decision-making forums.
- Enterprise and Business Unit standards remain aligned without compromising operational requirements.
- Bachelor's degree in Business, Engineering, Information Systems, Data Management, or a related discipline.
- Master's degree or equivalent domain expertise is advantageous.
- 10+ years of experience within a Business Unit domain, data management, analytics, or enterprise information management environments.
- Experience owning domain definitions, KPI frameworks, and data quality outcomes.
- Proven experience working across business and technology functions to establish governance and data management practices.
- Demonstrated ability to influence senior stakeholders and drive alignment without direct authority.
- Data Domain Management
- KPI Definition & Performance Frameworks
- Data Governance & Stewardship
- Data Quality Management
- Enterprise Information Management
- Data Product Ownership
- Business–Technical Translation
- Data Strategy Execution
- Governance Framework Implementation
- Analytics & Reporting Enablement
- Process Alignment & Standardization
- Decision Support & Insights
- Stakeholder Management
- Influencing & Negotiation
- Change Leadership
- Cross-Functional Collaboration
- Communication & Facilitation
- Enterprise Thinking
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, BU Data Domain at Ma'aden rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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 domain ownership 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?
- Tell me about a project where business intelligence was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, Data Domain Ownership, Data Quality, and Business Intelligence. 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.
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