Senior Data Architect (Data & AI) - Banking

VAM Systems
Doha
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsSkills: ["Analytical skills","Architectural skills","Stakeholder management"]

Own the enterprise data architecture framework that enables Data Analytics and AI initiatives across the organization. Define and maintain conceptual, logical, and physical data models, review end-to-end data flows and lineage, and ensure compliance with data governance, quality, security, and privacy requirements. Evaluate AI use cases and vendor solutions from an architecture perspective, and establish Responsible AI controls across validation, bias detection, explainability, traceability, and monitoring.

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FursaFursa
VAM Systems
VAM Systems
5 days ago

Senior Data Architect (Data & AI) - Banking

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Own the enterprise data architecture framework that enables Data Analytics and AI initiatives across the organization. Define and maintain conceptual, logical, and physical data models, review end-to-end data flows and lineage, and ensure compliance with data governance, quality, security, and privacy requirements. Evaluate AI use cases and vendor solutions from an architecture perspective, and establish Responsible AI controls across validation, bias detection, explainability, traceability, and monitoring.
Location: Doha
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

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 governance, 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 architecture.
  • •Establish technical controls supporting Responsible AI, including data validation, bias detection, explainability, traceability, and monitoring frameworks.

Key Requirements

  • •Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably in banking/financial services.
  • •Strong knowledge of enterprise data architecture principles including data modeling, data integration, and data governance frameworks.
  • •Experience with modern data platforms (data warehouses, lakehouses) and ETL/ELT frameworks for analytics ecosystems.
  • •Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.
  • •Knowledge of data governance, data quality, metadata management, and regulatory data management requirements (GCC/Qatar banking experience is highly desirable).
Experience:7-10 yearsBankingFinancial services
Skills:Analytical skillsArchitectural skillsStakeholder management
Certifications:TOGAFDAMACDMPCloud Architecture
Languages:English
Tech Stack:Data architectureData modelingData integrationData governanceData platformsData warehousesLakehousesETL/ELTAnalytics ecosystemsAI/ML data ecosystemsData lineageMetadata managementAPIsStreamingBatchResponsible AIBias detectionExplainabilityTraceabilityMonitoring frameworks

Company Brief

VAM Systems
Provides product engineering and software development services across embedded systems, IoT, cloud, AI, and digital transformation for enterprises in automotive, healthcare, industrial, and consumer electronics sectors.
Industry: Professional Services
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