Domain Architect – Global Entity Management at TMF Group | Jobyssey

Azure data layer – Azure SQL, Synapse / Microsoft Fabric and Data Lake / Storage, with supporting data-integration services. Awareness of AWS is nice to have.
API-led integration (MuleSoft preferred) – system, process and experience APIs, with API design and lifecycle management.
Enterprise solution architecture and design – across cloud-native, microservices and event-driven patterns.
Entity, KYC & document tooling – awareness of leading legal entity management, KYC / client-lifecycle-management and document-automation platforms, and their API, integration and data-model implications.
Security & compliance – security-by-design and awareness of the regulatory drivers relevant to TMF's operating model (DORA, GDPR, AML / KYC obligations) and of data residency across jurisdictions.
AI & GenAI awareness – working understanding of AI/ML and generative-AI capabilities (LLMs, AI agents, RAG, classification and extraction models) and how they apply to entity management and KYC workflows – e.g. document extraction, UBO / ownership analysis, screening triage and corporate-document generation. Able to critically evaluate vendor AI offerings, distinguishing genuine capability from marketing and assessing model accuracy, hallucination and bias risk, explainability, human-in-the-loop controls, training-data provenance and data-handling. Assesses AI solutions against EU AI Act, DORA and GDPR obligations before embedding them into regulated entity management and KYC processes.
KPIs / success metrics
Demonstrable adherence to Enterprise Architecture standards
Standardized legal-entity data model adopted across regions.
Measurable reduction in compliance, KYC and audit issues.
Reusable integration patterns for entity management, KYC and document generation.
Improved time-to-onboard for new entities, jurisdictions and clients.

Domain Architect – Global Entity Management

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