Enterprise Data Architect

Enterprise Data Architect
Ashley Furniture Industries

Ashley Furniture Industries is the world’s largest manufacturer of furniture, serving customers in more than 123countries
. As we continue investing in automation, AI, robotics, and digital manufacturing, we're transforming our production facilities into next-generation Smart Factories.

• The 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.

• Business-critical data is consistently defined and understood across teams
• Data products, analytics, and AI solutions are built on trusted, aligned definitions
• Cross-domain data conflicts are resolved quickly with clear decisions
• Teams spend less time reconciling data and more time delivering business value
• Enterprise data context is discoverable, reusable, and embedded in delivery workflows

• Define and evolve enterprise conceptual and logical data models for key business domains
• Establish clear representations of business entities, relationships, and domain boundaries
• Provide architectural guidance that promotes consistency while supporting team autonomy
• Apply enterprise modeling and naming standards through practical guidance and review
• Identify gaps in standards based on real-world usage and drive continuous improvement

• Develop and maintain authoritative definitions for cross-domain business concepts
• Enable a common business language that supports reporting, analytics, and AI
• Identify risks where inconsistent definitions could impact business outcomes and drive stakeholder alignment to resolve those conflicts

• Partner with Data Product Management and delivery teams to embed enterprise context into design
• Ensure data context is usable and reliable for AI, analytics, and semantic layers
• Ensure alignment between data products and enterprise models without slowing delivery
• Provide guidance that improves delivery speed and reduces rework
• Support the operationalization of data context in catalogs, semantic layers, and data products
• Enterprise models for priority domains and shared concepts
• Approved definitions for key business entities and metrics
• Resolution of cross-domain data definition conflicts
• Architectural guidance that improves alignment across data products
• Reusable, published data context for enterprise consumption

This role does not own physical data design, pipelines, or delivery execution. The focus is on enterprise data architecture, shared meaning, and cross-domain alignment.

• 5+ 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,…