FULL TIMEYerevan, Armenia · УдаленноОпубликовано 7/4/2026remote
Data Architect
By EPAM Systems
Описание
EPAM is looking for a Data Architect to join its Claims Technology organization and lead the design and governance of a canonical claims ontology for a global digital claims platform. This role is foundational for semantic interoperability, AI-driven decisioning, automation, data consistency, and intelligent decision-making across systems, regions, claims operations, enterprise information architecture, and engineering pipelines.
Обязанности
- Design and evolve a canonical claims ontology, including entities, relationships, hierarchies, and business semantics.
- Ensure ontology design aligns with industry standards and enterprise needs.
- Translate complex artifacts such as payloads, schemas, API contracts, and legacy middleware into structured data models.
- Define practical approaches for ontology deduction and semantic modeling.
- Partner with engineers to define and build GenAI extraction pipelines for complex legacy artifacts.
- Support AI-driven decisioning by enabling structured context for LLMs.
- Improve recommendation accuracy and automation outcomes through semantic alignment.
- Enable consistent data interpretation across systems and regions.
- Ensure the semantic layer for FNOL flows aligns with broader enterprise ontology and information architecture standards.
- Establish and govern controlled vocabularies, semantic consistency, and regional variations.
- Help define the operating model for ontology maintenance and lifecycle management.
- Support governance processes for ontology changes, business approvals, versioning, and semantic boundaries.
- Collaborate with domain experts, architects, and engineering teams to translate business concepts into structured semantic models.
Требования
- 10+ years of experience in data architecture or related roles.
- Understanding of insurance claims or financial services domains.
- Knowledge of data structures, workflows, and regulatory considerations.
- Background in ontology modeling, knowledge graphs, or metadata frameworks.
- Ability to translate business meaning into structured data models.
- Ability to interpret complex technical artifacts such as JSON payloads, API contracts, and legacy middleware mappings.
- Strong proficiency in conceptual and logical data modeling.
- Strong knowledge of data architecture and enterprise data governance practices.
- English fluency at B2+/C1 level for effective communication.
- Knowledge of LLM usage for metadata extraction, semantic mapping, context modeling, and document parsing is a plus.
- Familiarity with ACORD-style structures or canonical payloads used in major insurance claims platforms is a plus.
Навыки
DataArchitectureSolutionOntologyModelingKnowledgeGraphsMetadataFrameworksConceptualLogicalEnterpriseGovernanceSemanticInteroperabilityCanonicalModelsInsuranceClaimsFinancialServicesGenAILLMAI-drivenDecisioningPipelinesJSONAPIContractsLegacySystemsMiddlewareMappingInformationControlledVocabulariesFNOLACORDEnglishB2C1StakeholderCollaborationTechnicalDocumentationProblemSolving
EPAM Systems
EPAM Systems — компания или платформа в сфере software engineering, IT и цифровой трансформации. Она предлагает разработку программного обеспечения, облачные решения, инфраструктуру, enterprise-системы, консалтинг или техническую поддержку для бизнеса, помогая клиентам, пользователям или партнёрам решать практические задачи с помощью современных технологий, экспертной поддержки и структурированных процессов. Компания была основана в 1993 году. Профиль компании на ANQ описывает её ключевые направления, продукты, услуги и роль на рынке.
EPAM Systems — компания или платформа в сфере software engineering, IT и цифровой трансформации. Она предлагает разработку программного обеспечения, облачные решения, инфраструктуру, enterprise-системы, консалтинг или техническую поддержку для бизнеса, помогая клиентам, пользователям или партнёрам решать практические задачи с помощью современных технологий, экспертной поддержки и структурированных процессов. Компания была основана в 1993 году. Профиль компании на ANQ описывает её ключевые направления, продукты, услуги и роль на рынке.