Senior Data Governance Lead
Worldhire Global
Required skills
About the company
WorldHire helps organizations access top global talent through leadership hiring, specialist recruitment, contract staffing, and cross-border search. With KORUM, we are building a trusted talent discovery platform that enables professionals to be discovered discreetly and helps companies find the right expertise faster and more effectively.
About the role
Role Overview
We are seeking a Senior Data Governance Lead to drive enterprise-wide data governance for a leading organization in the UAE. The role will define and operationalize governance frameworks, data quality practices, and compliance controls, and will partner across business, data, architecture, and engineering teams to build trusted data practices.
Key Responsibilities
- Lead enterprise-wide data governance strategy, defining governance frameworks, policies, standards, ownership, stewardship, and operating models.
- Establish and monitor data quality frameworks, KPIs, controls, issue management, and remediation processes across critical data domains.
- Drive data privacy, security, regulatory compliance, and audit readiness, ensuring governance policies are embedded across the data lifecycle.
- Partner with business, data, architecture, and engineering teams to strengthen data ownership, governance adoption, and trusted data practices across the organization.
Required Skills & Experience
- Strong hands-on experience with Informatica Data Governance / Data Quality.
- Strong hands-on experience with Microsoft Fabric, including metadata management, cataloging, lineage, and governance capabilities.
- Proven experience defining governance frameworks, policies, standards, and operating models at enterprise level.
- Experience establishing data quality KPIs, controls, issue management, and remediation processes.
- Sound knowledge of data privacy, security, and regulatory compliance requirements, and audit readiness.
- Strong stakeholder management skills, with the ability to collaborate across business, data, architecture, and engineering teams.
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