Enterprise Data Management Lead

Elm; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Elm in Riyadh is seeking a Senior Consultant to lead enterprise data management capabilities across the organization, establishing data quality, catalog, and master data management practices to ensure reliability, discoverability, and governance of data assets.

You will collaborate with governance, cybersecurity, and privacy teams to strengthen data controls and enable data-driven decision making that aligns with business needs and regulatory requirements.

Qualifications

• Bachelor’s degree in a related discipline.
• +6 years of experience in Data Management, Data Governance, Data Quality, BI, or related domains.
• Professional certifications in Data Management, Data Governance, Data Quality, or Master Data are preferred.

Responsibilities

• Develop and implement enterprise data management frameworks aligned with business and technology objectives.
• Establish standards, methodologies, and operating models for data management practices.
• Define strategic priorities for data quality, data catalog, and master data management initiatives.
• Promote data management best practices across the organization.
• Data Quality Management: establish and maintain data quality standards, controls, and monitoring mechanisms.
• Drive data quality issue remediation across enterprise systems and monitor compliance.

Skills

Data Management

Data Governance

Data Quality

Master Data

Data Catalog

BI & Analytics

Stakeholder Collaboration

Education

Bachelor’s Degree in Computer Science/Information Systems/Data Science/IT/Computer Engineering

Job description

Elm in Riyadh is seeking a Senior Consultant to lead enterprise data management capabilities across the organization, establishing data quality, catalog, and master data management practices to ensure reliability, discoverability, and governance of data assets.

You will collaborate with governance, cybersecurity, and privacy teams to strengthen data controls and enable data-driven decision making that aligns with business needs and regulatory requirements.