Data Management Specialist

Posted 4 Days Ago
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Riyadh, SAU
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Implement, configure, and support enterprise data management solutions (data catalog, metadata, governance, data quality, classification). Onboard and classify data assets, build metadata models, configure governance workflows, run data profiling and quality rules, produce metrics/reports, ensure compliance with SDAIA/NDMO/PDPL, and provide stakeholder training and documentation.
Summary Generated by Built In
Job Description – Data Management SpecialistData Management Specialist
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.
Data Governance
  • 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.
Data Quality Management
  • 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.
Compliance & Regulatory Support
  • 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.
Stakeholder Engagement & Knowledge Transfer
  • 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.
Qualifications & ExperienceEducation
  • Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.
Experience
  • 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.
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.
Regulatory Knowledge

Good understanding of:

  • SDAIA
  • NDMO Data Management Standards
  • Personal Data Protection Law (PDPL)
  • Data Classification Framework
  • Other applicable KSA regulatory standards
Technical Skills

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
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 (IDQ)
  • Informatica Axon
  • PowerCenter

Experience with equivalent enterprise Data Governance and Data Quality platforms is also considered valuable.

Preferred Certifications

One 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
Mandatory Requirements

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

  • Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, or related enterprise data management initiatives
  • Strong Arabic and English communication skills (written and verbal)
  • Experience implementing enterprise Data Governance and Data Quality solutions in large organizations
  • Strong understanding of enterprise Data Management principles, data governance frameworks, metadata management, and data quality methodologies
  • Experience with Metadata Management and Data Catalog implementation and metadata harvesting, lineage, and synchronization
  • Experience with data profiling, cleansing, monitoring, remediation, and designing automated data quality controls
  • Ability to collaborate effectively with business stakeholders, Data Owners, Data Stewards, Data Custodians, and technical teams
  • Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or related discipline
  • Relevant industry certifications and technical qualifications (e.g., CDMP, DGSP, Informatica, Collibra, DAMA, Azure/AWS data certs)
  • Hands-on experience with either the Open Source stack (OpenMetadata + Great Expectations) or Enterprise stacks (Informatica products) for data governance and quality

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.

  • 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.
  • 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.

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The Company
Dubai
65 Employees
Year Founded: 2016

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.

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