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Senior Data & AI Architect

Summary

Designs and governs enterprise-scale data platforms, AI/ML ecosystems, and data governance frameworks for a banking client in Qatar.

Job Description - Senior Data & AI Architect (CREQ265839)

Job Description

Senior Data & AI Architect - ( CREQ265839 )

Description

Job Description

Role- Senior Data and AI Architect

Experience- 12+ years

Location- Qatar

Required Skills and Experience

  • Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.
  • Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.
  • Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.
  • Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.
  • Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.
  • Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.
  • Strong analytical, architectural, and stakeholder management skills.
  • GCC and/or Qatar banking experience is highly desirable.
  • Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred.

Evaluation Criteria

Submitted profiles will be assessed based on

  • Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.
  • Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.
  • Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.
  • Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.
  • Banking / financial services domain exposure, preferably within Qatar or the GCC.
  • Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.
  • Availability to support immediate project timelines

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