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Consultant / Senior Consultant

Unlock employer Riyadh, Saudi Arabia Posted: 09 Oct 2025

Financial

  • Estimate: $40k - $60k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

During your tenure as a Consultant/Senior Consultant in the AI & Data team, you will demonstrate and develop your capabilities in the following areas:

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Responsibilities

  • Proven detailed knowledge of at least one industry standard for data management such as DAMA, DCAM, CDMP, CMMI’s DMM or NDMO.
  • Hands-on experience in designing at least 3 data management capabilities such as data governance, metadata management, data quality management, reference & master data management, data architecture or open data.
  • Hands-on proven experience in developing key data management artefacts such as data governance operating models, data policies, data standards, data processes, data catalogues, business glossaries, data dictionaries or data models tailored to clients’ specific requirements.
  • Ability to collaborate with architects, data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.

Requirements

  • Undergraduate or Postgraduate Degree in Computer Science, Mathematics, or other Science Major.
  • 3-6 years of hands-on experience in designing at least 3 data management capabilities such as data governance, metadata management, data quality management, reference & master data management, data architecture or open data.
  • Good command of written and spoken English.
  • Willingness to travel across GCC region (50-75% of time).

Additional Preferred Qualifications

  • Experience in Leading Consulting Firms or in Global System Integrators is a plus.
  • Professional Certification in DAMA, DCAM, CDMP or CMMI’s DMM is a plus.
  • Data Engineering design experience is a plus, i.e. designing data engineering pipelines, ETL frameworks, physical data models (dimensional and relational), data pipeline orchestration and other data engineering related activities.
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