Senior Data & AI Architect

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 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