Level

Ma'aden

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.

data-governancedata-domain-ownershipdata-qualitybusiness-intelligence
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.
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.
Data Products & Business Value
  • 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.
Governance & Standards Alignment
  • 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.
Stakeholder Leadership & Business Engagement
  • 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.
Data Quality & Continuous Improvement
  • 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.
What Success Looks Like
  • 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.
Minimum Qualifications
  • Bachelor's degree in Business, Engineering, Information Systems, Data Management, or a related discipline.
  • Master's degree or equivalent domain expertise is advantageous.
Experience
  • 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.
Skills That Matter Functional Expertise
  • Data Domain Management
  • KPI Definition & Performance Frameworks
  • Data Governance & Stewardship
  • Data Quality Management
  • Enterprise Information Management
  • Data Product Ownership
Business & Delivery
  • Business–Technical Translation
  • Data Strategy Execution
  • Governance Framework Implementation
  • Analytics & Reporting Enablement
  • Process Alignment & Standardization
  • Decision Support & Insights
People & Collaboration
  • Stakeholder Management
  • Influencing & Negotiation
  • Change Leadership
  • Cross-Functional Collaboration
  • Communication & Facilitation
  • Enterprise Thinking

Benefits

1. Career Growth
2. 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Data GovernanceData Domain OwnershipData QualityBusiness Intelligence

Questions you could be asked

  1. Tell me about a project where data governance was part of your work. What did you do?
  2. Tell me about a project where data domain ownership was part of your work. What did you do?
  3. Tell me about a project where data quality was part of your work. What did you do?
  4. 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.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new data jobs by email

One email a week with the new data jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Ma'aden

Related searches

Same AI level

Jobs by city