Lead Specialist, Governance & Master Data

Ma'aden Aluminium Company (MAC); Medina; On-site; SAR 360,000 - 540,000; Full time

Job summary

Maaden Aluminium Company (MAC) in Medina seeks a Lead Specialist Governance & Master Data to elevate data as a trusted enterprise asset. You will establish standards, ownership, controls, and foundations for reliable reporting, analytics, and AI.

You will embed governance into business processes and technology, improve data quality, lineage, and metadata, and build sustainable capability through mentoring and playbooks.

Qualifications

• Bachelor's degree in Computer Science, Data Management, Information Systems, or a related discipline.
• 8–10 years of relevant experience in data governance or enterprise data management.
• Experience implementing enterprise governance and master data frameworks.

Responsibilities

• Establish governance frameworks, policies, standards, and decision rights.
• Govern master data definitions, hierarchies, and lifecycle controls.
• Define measurable data quality rules and enable traceability via metadata lineage.
• Integrate data quality and governance into data pipelines and cloud platforms.
• Identify and mitigate data governance, privacy, and security risks.
• Build adoption through practical playbooks and capability building.

Skills

Data governance

Master data management

Data quality management

Metadata management

Data lineage

Data catalog

Policy standards

Stakeholder management

Governance framework

Change adoption

Education

Bachelor's degree in Computer Science / Data Management / Information Systems

Job description

1 Why This Role Matters

The Lead Specialist Governance amp 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 amp 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 amp 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 amp 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 amp 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 amp Data Catalogue Management Data Lineage amp Traceability Data Stewardship amp Lifecycle Management Business amp Delivery Governance Framework Design Policy Standards amp Control Development Data Risk amp Compliance Management Governance Performance Measurement Root-Cause Analysis amp Remediation Continuous Improvement amp Automation People amp Collaboration Stakeholder Management amp Influence Business and Technology Collaboration Governance Advisory Facilitation amp Communication Coaching amp Knowledge Transfer Change Adoption amp Accountability
• Bachelor s degree in Computer Science, Data Management, Information Systems, or a related discipline.