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 710 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