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Lead, Data Governance
Airswift
Doha, QAT
Contract
Director
Onsite
Discovered 1 weeks ago
Enterprise data governanceData governance strategy and roadmapsData quality managementData lineage and metadata managementBusiness glossary managementAI governance
Free
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Enterprise data governanceData governance strategy and roadmapsData quality management
Role Overview
Lead the central team responsible for accurate, consistent, available, and high-quality data across approximately 120 data domains and 870 data families.
Drive data governance for digital use cases and data platform operations to protect data integrity and support decision-making.
Advise leadership on enterprise-wide data governance solutions and challenges.
Key Skills for This Role
Enterprise data governanceData governance strategy and roadmapsData quality managementData lineage and metadata managementBusiness glossary managementAI governance
Full Job Posting
Purpose of the Role
Lead the central team responsible for accurate, consistent, available, and high-quality data across approximately 120 data domains and 870 data families.
Drive data governance for digital use cases and data platform operations to protect data integrity and support decision-making.
Advise leadership on enterprise-wide data governance solutions and challenges.
Governance Strategy and Maturity
- Lead the enterprise data governance framework, strategy, roadmap, and maturity improvement program.
- Promote data access, quality, and analytical capability through training, data roles, and data standards.
- Measure governance maturity, set annual improvement goals, and represent data management teams and stewards at leadership meetings.
- Provide technical guidance and collaborate with business areas and IT on data management solutions.
Digital and AI Governance
- Embed governance practices in AI, advanced analytics, digital use cases, and data platform operations.
- Ensure data quality rules, technical metadata lineage, and approved business glossaries are defined for digital use cases.
- Establish AI governance boundaries, controls, data quality assurance mechanisms, and a strategic AI governance roadmap.
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