Job Location - Riyadh - KSA
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 platforms, maintains metadata integrity, enables data quality monitoring, and supports compliance with organizational policies and regulatory frameworks such as SDAIA, NDMO, and PDPL.
The specialist will work closely with business stakeholders, Data Stewards, Data Custodians, and technical teams to ensure effective implementation, operation, and continuous improvement of enterprise data management capabilities throughout the project lifecycle.
Key ResponsibilitiesData Catalog & Metadata Management- 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.
- Support implementation of data ownership, stewardship, and accountability models.
- Conduct enterprise-wide data profiling and quality assessments using approved Data Quality platforms.
- Configure and administer Data Quality tools for profiling, validation, monitoring, and issue management.
- 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.
- Collaborate with business teams to implement remediation and cleansing initiatives.
- Support continuous improvement of enterprise Data Quality processes.
- Integrate Data Quality capabilities with Metadata Management and Data Governance platforms.
- Ensure compliance with SDAIA, NDMO, PDPL, and organizational data management standards.
- Support implementation of enterprise data classification requirements.
- Ensure governance controls align with applicable regulatory requirements.
- Assist in internal and external audits related to Data Governance and Data Quality.
- Work collaboratively with business and technical stakeholders throughout the project lifecycle.
- Deliver user enablement sessions and technical training on Data Governance and Data Quality tools.
- Support adoption of enterprise data management practices across business units.
- Prepare technical documentation, operating procedures, implementation guides, and knowledge transfer materials.
- 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 one or more of the following:
- Data Governance
- Data Quality
- Metadata Management
- Data Catalog
- Data Privacy
- 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.
- 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.
Good understanding of:
- SDAIA
- NDMO Data Management Standards
- Personal Data Protection Law (PDPL)
- Data Classification Framework
- Other applicable KSA regulatory standards
Candidates should have experience with one of the following technology stacks:
Option 1 (Open Source Stack) – Mandatory Combination- OpenMetadata
- Great Expectations
Good to Have
- Soda
- Splink
- libpostal
- OpenRefine
- Collate
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 (IDQ)
- Informatica Axon
- PowerCenter
Experience with equivalent enterprise Data Governance and Data Quality platforms is also considered valuable.
Preferred CertificationsOne or more of the following certifications is preferred:
- Certified Data Management Professional (CDMP)
- Data Governance & Stewardship Professional (DGSP)
- Informatica Professional Certifications
- Collibra Ranger Certification
- DAMA Certification
- Microsoft Azure Data certifications
- AWS Data Analytics Certification
- Equivalent industry-recognized Data Management certifications
The proposed resource must satisfy the following minimum 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.
Skills Required
- 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 in large organizations.
- Experience with OpenMetadata and Great Expectations (Open Source stack) OR hands-on experience with Informatica products (IDMC, CDGC, CDQ, EDC, IDQ, Axon, PowerCenter) or equivalent enterprise platforms.
- Strong Arabic and English communication skills (written and verbal).
- Strong understanding of enterprise Data Management principles, metadata management, data lineage, data governance frameworks, and data quality methodologies.
- Experience with data profiling, cleansing, monitoring, remediation, and developing automated Data Quality controls and alerts.
- Strong documentation, stakeholder management, and ability to collaborate with Data Owners, Data Stewards, custodians, and technical teams.
- Relevant industry certifications and technical qualifications applicable to the role (preferred certifications listed separately).
- Good understanding of SDAIA, NDMO Data Management Standards, PDPL, and KSA data classification/regulatory standards.
- Familiarity with additional tools (Soda, Splink, libpostal, OpenRefine, Collate) is a plus.
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
