Data Governance & Management Specialist
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Key skills for this role
About the Role
Datamatics Global Services is seeking a Data Governance & Management Specialist for an onsite role in Riyadh. The role involves establishing and managing enterprise data governance frameworks, data quality, metadata management, and master data management.
Key Skills for This Role
Responsibilities
- Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives
- Establish data governance policies, standards, processes, and operating models
- Define data ownership, stewardship models, and governance responsibilities across business and technology teams
- Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data
- Manage metadata, data cataloging, lineage, and business glossary initiatives
- Support Master Data Management (MDM) strategies and implementation
- Define and implement data classification and data privacy frameworks
- Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance
- Monitor governance KPIs, data quality metrics, and compliance requirements
- Drive adoption of governance practices across enterprise data initiatives
- Support regulatory compliance and data protection requirements
Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field
- 6–12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management
- Strong understanding of DAMA DMBOK or NDMO frameworks and data governance principles
- Hands on experience with Collibra or Alation for data catalog, metadata management, business glossary, data lineage, and governance workflow management
- Experience with Informatica Data Quality (DQ) or comparable data quality tools
- Experience implementing Master Data Management (MDM) frameworks and processes
- Experience with Data Classification and Data Privacy frameworks
- Excellent communication, stakeholder management, and collaboration skills
- Experience working with cross functional teams in enterprise environments
Full Job Posting
Job Overview
- We are seeking an experienced Data Governance & Management Specialist with 6–12+ years of experience to establish, implement, and manage enterprise data governance frameworks.
- The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices.
- This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies.
Key Responsibilities
- Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives
- Establish data governance policies, standards, processes, and operating models
- Define data ownership, stewardship models, and governance responsibilities across business and technology teams
- Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data
- Manage metadata, data cataloging, lineage, and business glossary initiatives
- Support Master Data Management (MDM) strategies and implementation
- Define and implement data classification and data privacy frameworks
- Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance
- Monitor governance KPIs, data quality metrics, and compliance requirements
- Drive adoption of governance practices across enterprise data initiatives
- Support regulatory compliance and data protection requirements
Required Technical & Functional Skills
- Strong understanding of DAMA DMBOK or NDMO frameworks and data governance principles
- Experience designing and implementing enterprise data governance operating models
- Knowledge of data stewardship, ownership, policies, standards, and governance processes
- Hands on experience with Collibra or Alation for data catalog management, metadata management, business glossary creation, data lineage tracking, and governance workflow management
- Experience with Informatica Data Quality (DQ) or comparable data quality tools
- Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes
- Experience implementing Master Data Management (MDM) frameworks and processes
- Understanding of master data domains, golden records, and data synchronization approaches
- Experience with Data Classification and Data Privacy frameworks
- Knowledge of sensitive data identification, protection controls, and compliance requirements
- Understanding of privacy regulations and enterprise data protection practices
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field
- 6–12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management
- Strong understanding of enterprise data architecture and governance practices
- Excellent communication, stakeholder management, and collaboration skills
- Experience working with cross functional teams in enterprise environments
Preferred Skills
- Experience supporting large scale data transformation initiatives
- Knowledge of cloud data platforms and modern data ecosystems
- Familiarity with data security, risk management, and compliance frameworks
- Experience establishing Data Governance Centers of Excellence (CoE)
- Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus
Key Technology & Capability Stack
- Data Governance Frameworks: DAMA DMBOK or NDMO
- Data Governance Platforms: Collibra or Alation
- Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring
- Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage
- Data Protection: Data Classification and Data Privacy and Compliance Management
- Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models
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