Lead Specialist, Governance & Master Data

Job description

The role strengthens Ma’aden’s ability to treat data as a trusted enterprise asset. It establishes standards, ownership, controls and master data foundations for reporting, analytics, AI, automation and decision‑making. It improves accuracy, consistency, traceability and usability of critical data across functions and platforms. It translates governance requirements into practical controls, clear accountabilities and sustainable ways of working, building a culture of responsible data owners, stewards and users. Responsibilities include: establishing governance frameworks, policies, standards and decision rights; aligning governance with data strategy, architecture, cybersecurity and regulatory obligations; embedding governance in business processes and technology delivery; governing master data definitions, hierarchies, rules and lifecycle across assets, materials, suppliers and employees; improving data consistency and reducing duplication; defining measurable quality rules for completeness, accuracy, consistency, validity and timeliness; driving root‑cause resolution of recurring data issues; enhancing discoverability through metadata, lineage and cataloguing; integrating quality, ownership, security and lineage controls into data pipelines, cloud and analytics platforms; enabling scalable governed data foundations for reporting, advanced analytics, AI and digital initiatives; identifying and mitigating governance, privacy and security risks; maintaining evidence‑based controls for compliance and audit readiness; monitoring adherence to standards and driving corrective actions; equipping data owners, stewards, analysts and technology teams with playbooks and guidance; influencing stakeholders to adopt standards; building sustainable governance capability through mentoring and continuous improvement.

Requirements

• proficient in establishing governance frameworks, policies and standards for data
• knowledge of aligning governance with enterprise data strategy, architecture, cybersecurity and regulatory compliance
• proficient in embedding governance into business processes and technology delivery
• proficient in governing master data definitions, hierarchies, business rules and lifecycle across assets, materials, suppliers and employees
• experience improving data consistency and reducing duplication
• proficient in defining measurable data quality rules and managing root‑cause resolution of recurring issues
• proficient in enhancing metadata, lineage and data discoverability
• proficient in integrating quality, ownership, security and lineage controls into data pipelines, cloud environments and analytics platforms
• proficient in enabling scalable governed data foundations for AI and digital initiatives
• proficient in identifying and mitigating governance, privacy and security risks
• proficient in maintaining evidence‑based controls for regulatory compliance and audit readiness
• proficient in training data owners, stewards and technology teams
• proficient in building sustainable governance capability through mentoring and continuous improvement
• Bachelor’s degree in Computer Science, Data Management, Information Systems or related field
• 8-10 years of 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 in a complex organization
• experience translating governance requirements into practical business processes and technology controls.

Skills