Enterprise Data Architect

Enterprise Data Architect Ashley Furniture IndustriesAshley Furniture Industries is the world's largest manufacturer of furniture, serving customers in more than 123 countries. As we continue investing in automation, AI, robotics, and digital manufacturing, we're transforming our production facilities into next-generation Smart Factories.Role SummaryThe Enterprise Data Architect defines and enables the shared data foundation that ensures consistent understanding of core business entities across the enterprise.This role translates business concepts into reusable enterprise models, authoritative definitions, and contextual frameworks that accelerate decision-making, improve data product delivery, and ensure AI and analytics solutions operate on trusted, aligned data.By establishing a common language for data, this role reduces ambiguity, strengthens cross-domain alignment, and enables teams to deliver faster with confidence.What success looks likeBusiness-critical data is consistently defined and understood across teamsData products, analytics, and AI solutions are built on trusted, aligned definitionsCross-domain data conflicts are resolved quickly with clear decisionsTeams spend less time reconciling data and more time delivering business valueEnterprise data context is discoverable, reusable, and embedded in delivery workflowsWhat you'll doEnterprise Data Architecture & ModelingDefine and evolve enterprise conceptual and logical data models for key business domainsEstablish clear representations of business entities, relationships, and domain boundariesProvide architectural guidance that promotes consistency while supporting team autonomyApply enterprise modeling and naming standards through practical guidance and reviewIdentify gaps in standards based on real-world usage and drive continuous improvementShared Definitions & Business AlignmentDevelop and maintain authoritative definitions for cross-domain business conceptsEnable a common business language that supports reporting, analytics, and AIIdentify risks where inconsistent definitions could impact business outcomes and drive stakeholder alignment to resolve those conflictsData Product EnablementPartner with Data Product Management and delivery teams to embed enterprise context into designEnsure data context is usable and reliable for AI, analytics, and semantic layersEnsure alignment between data products and enterprise models without slowing deliveryProvide guidance that improves delivery speed and reduces reworkSupport the operationalization of data context in catalogs, semantic layers, and data productsKey DeliverablesEnterprise models for priority domains and shared conceptsApproved definitions for key business entities and metricsResolution of cross-domain data definition conflictsArchitectural guidance that improves alignment across data productsReusable, published data context for enterprise consumptionRole BoundariesThis role does not own physical data design, pipelines, or delivery execution. The focus is on enterprise data architecture, shared meaning, and cross-domain alignment.Required Qualifications5+ years of experience in enterprise data modeling, data architecture, information architecture, semantic modeling, or a closely related discipline.Demonstrated experience developing conceptual and logical data models across multiple business domains.Strong ability to translate business language into precise definitions, entities, relationships, and reusable data structures.Experience facilitating cross-functional alignment with business SMEs, data architects, analysts, engineers, product managers, and governance stakeholders.Familiarity with metadata management, data catalogs, data governance, data products, and data quality concepts.Strong written communication skills, including the ability to produce clear model documentation and decision records.Preferred QualificationsExperience with enterprise modeling tools, metadata repositories, catalog platforms, or knowledge graph / ontology patterns.Experience with domain-driven design, master data, reference data, canonical models, semantic layers, or data contracts.Familiarity with AI grounding, RAG, vector search, or ontology integration patterns.CDMP, DAMA, TOGAF, or comparable data architecture / data management certification.Success MeasuresAdoption of enterprise models and definitions across teamsReduced time spent resolving data inconsistenciesImproved speed and quality of data product and analytics deliveryIncreased confidence in data used for business decisions and AIAshley Furniture Industries is proud to be an Equal Opportunity Employer and maintains a drug-free workplace. While we appreciate the interest of all applicants, only candidates selected for further consideration will be contacted.Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.