Senior Data Architect

Role Overview - Senior Data Architect (Data & AI)

• 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.

• 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, lake houses, 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.

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.