Data Management Specialist
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Key skills for this role
About the Role
Datamatics Global Services Ltd seeks a Data Management Specialist in Riyadh to implement and support enterprise Data Governance, Data Catalog, Metadata Management, and Data Quality solutions.
Key Skills for This Role
Responsibilities
- Implement, configure, and maintain enterprise Data Catalog solutions
- Ensure all enterprise data assets are inventoried, classified, documented, and governed within the Data Catalog
- Develop and maintain metadata models, taxonomies, business glossaries, and metadata standards
- Configure metadata harvesting, lineage, and synchronization across enterprise data sources
- Configure and administer Data Governance tools, workflows, dashboards, and policy enforcement mechanisms
- Conduct enterprise wide data profiling and quality assessments using approved Data Quality platforms
- Design, implement, and maintain business and technical Data Quality rules
- Develop automated Data Quality controls, monitoring jobs, alerts, and exception management processes
- Monitor Data Quality KPIs and produce dashboards, scorecards, and management reports
- Ensure compliance with SDAIA, NDMO, PDPL, and organizational data management standards
- Deliver user enablement sessions and technical training on Data Governance and Data Quality tools
- Prepare technical documentation, operating procedures, implementation guides, and knowledge transfer materials
Requirements
- Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or related discipline
- Minimum 5 years of hands on implementation experience in Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, or Enterprise Data Management initiatives
- Experience implementing enterprise Data Governance and Data Quality solutions across large organizations
- Strong Arabic and English communication skills (written and verbal)
- Strong understanding of enterprise Data Management principles
- Experience with Metadata Management and Data Catalog implementation
- Strong understanding of Data Governance frameworks
- Knowledge of Data Quality methodologies and implementation
- Experience with data profiling, cleansing, monitoring, and remediation
- Understanding of data lineage and metadata management
- Excellent analytical and problem solving skills
- Strong documentation and stakeholder management skills
Full Job Posting
Job Purpose
- The Data Management Specialist is responsible for implementing, configuring, and supporting enterprise Data Management solutions, including Data Governance, Data Catalog, Metadata Management, Data Quality, and Data Classification. The role ensures successful onboarding of data assets into governance
Key Responsibilities
- Implement, configure, and maintain enterprise Data Catalog solutions.
- Ensure all enterprise data assets are inventoried, classified, documented, and governed within the Data Catalog.
- Develop and maintain metadata models, taxonomies, business glossaries, and metadata standards.
- Configure metadata harvesting, lineage, and synchronization across enterprise data sources.
- Support business and technical teams in maintaining accurate metadata and improving data discoverability.
- Configure and manage workflows supporting metadata management and data classification.
- Ensure classification labels and metadata standards are consistently applied across data assets.
- Configure and administer Data Governance tools, workflows, dashboards, and policy enforcement mechanisms.
- Support implementation of enterprise Data Governance policies, standards, and procedures.
- Collaborate with Data Owners, Data Stewards, and Custodians to operationalize governance processes.
- Monitor governance compliance and generate governance metrics and reports.
- Maintain governance documentation in accordance with organizational standards.
Qualifications & Experience
- Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.
- Minimum 5 years of hands on implementation experience in Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, or Enterprise Data Management initiatives.
- Experience implementing enterprise Data Governance and Data Quality solutions across large organizations.
- Experience supporting enterprise data governance operating models and regulatory compliance initiatives.
Mandatory Skills
- Strong Arabic and English communication skills (written and verbal).
- Strong understanding of enterprise Data Management principles.
- Experience with Metadata Management and Data Catalog implementation.
- Strong understanding of Data Governance frameworks.
- Knowledge of Data Quality methodologies and implementation.
- Experience with data profiling, cleansing, monitoring, and remediation.
- Understanding of data lineage and metadata management.
- Excellent analytical and problem solving skills.
- Strong documentation and stakeholder management skills.
- Ability to work effectively with business and technical stakeholders.
Technical Skills
- Option 1 (Open Source Stack) – Mandatory Combination: OpenMetadata, Great Expectations. Good to Have: Soda, Splink, libpostal, OpenRefine, Collate.
- Option 2 (Enterprise Stack) – Mandatory Combination: Hands on experience with one or more Informatica products, including Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance & Catalog (CDGC), Cloud Data Quality (CDQ), Enterprise Data Catalog (EDC), Informatica Data Quality (I
Mandatory Requirements
- Strong English communication skills (written and spoken).
- Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Privacy, or related enterprise data management initiatives.
- Relevant industry certifications and technical qualifications applicable to the role.
- Demonstrated experience implementing enterprise Data Governance and Data Quality solutions in large organizations.
- Ability to collaborate effectively with business stakeholders, technical teams, Data Owners, Data Stewards, and compliance functions.
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