Job Overview
Remote Lead Digital Banking Intelligence Architect – Qatar
Role Classification: Senior Leadership – Remote
Geographic Alignment: State of Qatar
Engagement Model: Remote-Optimized, Cross-Functional, Multi-Stakeholder Fintech Engineering
Functional Domain: Digital Banking Systems, AI-Driven Customer Intelligence, Risk-Adaptive Core Banking Modernization
Position Overview
This senior role oversees the full-spectrum architecture of remote digital banking intelligence frameworks for Qatar’s rapidly evolving fintech landscape. It requires a hybrid strategist–architect capable of re-engineering digital banking platforms, embedding behavioural analytics engines, and driving AI-enabled personalization strategies with enterprise-grade governance.
Core Mandates
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Architect an integrated digital banking intelligence environment using predictive analytics, embedded finance modules, and advanced customer-behaviour modelling.
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Lead remote modernization of core banking systems, migrating legacy workflows into high-availability cloud-native platforms that support 24/7 operations.
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Develop Qatar-aligned risk-adaptive credit decisioning engines, transaction scoring systems, and liquidity sensitivity analytics.
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Implement enterprise-secure open banking APIs with multi-layer identity verification and continuous authentication frameworks.
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Lead distributed engineering teams in building customer-centric digital journeys, omnichannel experiences, and advanced financial insight dashboards.
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Establish governance for AI explainability, model lifecycle management, monitoring pipelines, and drift detection.
Technical Capabilities
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Proficiency in data architecture, feature engineering pipelines, advanced ML scoring engines, and digital banking middleware.
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Expert understanding of open banking architecture, API security hardening, and cloud-native resilience models.
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Strong knowledge of Qatar-specific fintech regulatory frameworks, data residency obligations, and consumer protection standards.
Candidate Profile
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8–12 years leading digital banking system transformations.
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Deep expertise in data engineering, AI-driven financial models, and enterprise fintech architecture.
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Proven capability to manage globally distributed engineering and analytics teams.
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