Senior Data Architect (Data & AI) Banking

We are currently looking Senior Data Architect (Data & AI) for our Qatar operations with the following terms & conditions.

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.

Key Responsibilities

• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.
• Define and maintain conceptual logical and physical data models aligned with business analytics and AI requirements.
• Review and validate data architecture designs end-to-end data flows data lineage and integration patterns to ensure compliance with Data Governance Data Quality Security and Privacy requirements.
• Assess AI use cases from a technical architecture perspective including data sourcing integration scalability performance and alignment with the target data architecture.
• Establish and maintain technical controls supporting Responsible AI (RAI) including data validation bias detection explainability traceability and monitoring frameworks.
• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards integration capabilities security requirements and performance expectations.
• Conduct data-focused assessments of third-party solutions ensuring compliance with data protection privacy and regulatory requirements.
• Review Business Requirement Specifications (BRS) solution designs and Post-Implementation Reviews (PIR) from a data architecture perspective.
• Govern data integration frameworks ETL/ELT processes APIs streaming and batch-based data flows across enterprise systems.
• Support regulatory compliance initiatives audits and architecture governance forums.
• Act as a Subject Matter Expert (SME) in Data Governance AI Governance Responsible AI and Architecture Review forums.

Joining time frame: 2 weeks (maximum 1 month)

Remote work: No

Employment type: Full-time