Lead Specialist, Governance & Master Data

Ma'aden is hiring a Lead Specialist, Governance & Master Data in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.

AI in this role

Lead enterprise data governance and master data standards to support analytics, automation, and AI initiatives.

data-governancemaster-data-managementdata-qualitymetadata-management

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 Lead Specialist, Governance & Master Data strengthens Ma’aden’s ability to treat data as a trusted enterprise asset. The role establishes the standards, ownership, controls, and master data foundations required for reliable reporting, analytics, artificial intelligence, automation, and business decision-making. The role creates value by improving the accuracy, consistency, traceability, and usability of critical data across business functions and technology platforms. Strong governance and master data practices reduce operational inefficiency, limit data-related risk, improve regulatory and audit readiness, and enable teams to make decisions with greater confidence. As a specialist authority, the role turns enterprise governance requirements into practical controls, clear accountabilities, and sustainable ways of working. The role also builds a culture in which data owners, stewards, and users understand their responsibilities and actively improve the quality and value of Ma’aden’s information assets. 2. What You Will Deliver Enterprise Data Governance

Establish governance frameworks, policies, standards, and decision rights that strengthen ownership and accountability for critical data.
Align governance practices with enterprise data strategy, architecture principles, cybersecurity requirements, and regulatory obligations.
Embed governance into business processes and technology delivery rather than applying controls after implementation.

Master Data Excellence

Govern master data definitions, hierarchies, business rules, and lifecycle controls across critical domains such as assets, materials, suppliers, and employees.
Improve master data consistency across systems to reduce duplication, reconciliation effort, and process disruption.
Enable trusted master data that supports efficient operations, integrated reporting, analytics, and automation.

Data Quality, Metadata & Traceability

Define measurable quality rules and controls for completeness, accuracy, consistency, validity, and timeliness.
Drive root-cause resolution of recurring data issues and track improvements through agreed quality indicators.
Strengthen data discoverability and trust through effective metadata, lineage, cataloguing, and traceability practices.

Governed Platforms & Digital Enablement

Integrate data quality, ownership, security, metadata, and lineage controls into data pipelines, cloud environments, and analytics platforms.
Enable scalable and governed data foundations for reporting, advanced analytics, AI, and digital initiatives.
Apply automation and analytics to improve control effectiveness, issue detection, and governance efficiency.

Risk, Compliance & Assurance

Identify and mitigate governance, privacy, security, and master data risks before they affect business performance.
Maintain evidence-based controls that strengthen regulatory compliance, audit readiness, and accountability.
Monitor adherence to governance standards and drive corrective action where control gaps are identified.

Adoption & Capability Building

Equip data owners, stewards, analysts, and technology teams with practical playbooks, procedures, and governance guidance.
Influence business and technology stakeholders to adopt master data standards and accountable data practices.
Build sustainable governance capability through mentoring, knowledge transfer, and continuous improvement.

3. What Success Looks Like

Critical data domains achieve agreed improvements in completeness, accuracy, consistency, validity, and timeliness.
Master data standards and hierarchies are consistently adopted across priority systems and business processes.
Recurring data issues, duplicate records, reconciliation effort, and control exceptions reduce over time.
Critical data assets have clearly assigned owners and stewards, supported by documented accountability.
Metadata, lineage, and catalogue coverage improve for priority data assets, increasing traceability and user confidence.
Analytics, AI, reporting, and automation initiatives use governed data that meets defined quality and compliance requirements.

4. Minimum Qualifications

Bachelor’s degree in Computer Science, Data Management, Information Systems, or a related discipline.

5. Experience

8–10 years of relevant experience in data governance, master data management, or enterprise data management.
Experience implementing enterprise data governance and master data management frameworks.
Experience establishing data quality, stewardship, metadata, lineage, or data catalogue capabilities within a complex organization.
Experience translating governance requirements into practical business processes and technology controls.

6. Skills That Matter Functional Expertise

Enterprise Data Governance
Master Data Management
Data Quality Management
Metadata & Data Catalogue Management
Data Lineage & Traceability
Data Stewardship & Lifecycle Management

Business & Delivery

Governance Framework Design
Policy, Standards & Control Development
Data Risk & Compliance Management
Governance Performance Measurement
Root-Cause Analysis & Remediation
Continuous Improvement & Automation

People & Collaboration

Stakeholder Management & Influence
Business and Technology Collaboration
Governance Advisory
Facilitation & Communication
Coaching & Knowledge Transfer
Change Adoption & Accountability

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

Lead Specialist, Governance & Master Data at Ma'aden rates 10 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.

●●●● 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.

Key facts

Lead Specialist, Governance & Master Data is an open job at Ma'aden.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Riyadh, Saudi Arabia.
The job was posted on October 12, 2026.
Seniority: lead.
Applications are handled by Ma'aden. Apply on Ma'aden

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data GovernanceMaster Data ManagementData QualityMetadata Management

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 master data 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?
Tell me about a project where metadata management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Governance, Master Data Management, Data Quality, and Metadata Management. 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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