Enteprise Data Architect

Ashley Furniture Industries; Town of Arcadia (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

Ashley Furniture Industries seeks an Enterprise Data Architect to define and evolve the enterprise data models and shared definitions across business domains. You will translate business concepts into reusable data structures, establish domain boundaries, and provide architecture guidance to accelerate trusted decision-making.

In this role you will enable data products, analytics, and AI solutions by embedding enterprise context into delivery workflows and ensuring cross-domain alignment.

Qualifications

• 5+ years of experience in enterprise data modeling or architecture.
• Ability to translate business language into precise data definitions.
• Experience facilitating cross-functional alignment with SMEs, engineers, and governance stakeholders.
• Familiarity with metadata management, data catalogs, and data quality concepts.
• Strong written communication and model documentation skills.

Responsibilities

• Define and evolve enterprise conceptual and logical data models for key business domains.
• Establish clear representations of entities, relationships, and domain boundaries.
• Provide architectural guidance promoting consistency while supporting autonomy.
• Develop authoritative definitions for cross-domain concepts.
• Embed enterprise context into data product design and delivery workflows.
• Support operationalization of data context in catalogs, semantic layers, and data products.

Skills

Data Modeling

Data Architecture

Information Architecture

Semantic Modeling

Cross-functional Alignment

Metadata Management

Tools

Enterprise Modeling Tools

Metadata Repositories

Catalog Platforms

Knowledge Graph / Ontology Patterns

Job description

About Ashley

Ashley 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.

Enteprise Data Architect

Role Summary

• 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.

What Success Looks Like

• 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

What You'll Do

Enterprise Data Architecture & Modeling

• 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

Shared Definitions & Business Alignment

• 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

Data Product Enablement

• 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

Key Deliverables

• 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

Role Boundaries

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.

Required Qualifications

• 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, including the ability to produce clear model documentation and decision records.

Preferred Qualifications

• Experience 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 Measures

• Adoption of enterprise models and definitions across teams
• Reduced time spent resolving data inconsistencies
• Improved speed and quality of data product and analytics delivery
• Increased confidence in data used for business decisions and AI

Equal Opportunity Employer Statement

Ashley 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.