We have an urgent requirement for a Senior Data Architect (Data & AI) with a leading bank in Qatar. Please find the details below and let me know if you or anyone in your network would be a good fit.
Role: Senior Data Architect (Data & AI)
Client: Leading Bank, Qatar
Location: Doha, Qatar
Experience: 12+ years overall (minimum 7 years in Data Architecture)
Mandatory: GCC/Qatar Banking or Financial Services experience
Role Overview
This is a senior, governance-focused role responsible for governing the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization. The role combines deep technical data architecture expertise with AI/Responsible AI governance and strong stakeholder management across business, risk, and compliance functions.
Key Responsibilities
Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives.
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 for compliance with Data Governance, Data Quality, Security, and Privacy requirements.
Assess AI use cases from a technical architecture perspective — data sourcing, integration, scalability, performance, and alignment with target architecture.
Establish technical controls supporting Responsible AI (RAI) — data validation, bias detection, explainability, traceability, and monitoring frameworks.
Review and evaluate vendor solutions for alignment with enterprise architecture standards, integration capabilities, security, and performance expectations.
Conduct data-focused assessments of third-party solutions for 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, APIs, streaming, and batch-based data flows across enterprise systems.
Support regulatory compliance initiatives, audits, and architecture governance forums.
Act as Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums.
Required Skills & 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 of 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