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Enteprise Data Architect

Ashley Furniture Industries, Inc

Tampa, Florida • Today

Full-time

Data Architect

Philip Morris International U.S.

Tampa, Florida • Today

Full-time

Data Architect SME

Leidos

Tampa, Florida • Today

Full-time

USD 116,350.00 - 210,325.00 per year

Data Architect / Solutions Architect

K-Tek Resourcing LLC

Remote • 5d ago

Easy Apply

Full-time

140 - 150

Data Architect

CitiusTech

Remote • 13d ago

Easy Apply

Full-time

Depends on Experience

Enterprise Data Architect

Commerce Bank

Remote or St. Louis, Missouri • Today

Full-time

USD 105,000.00 - 123,500.00 per year

Enterprise Data Architect

OU Health

Remote • Today

Full-time

Enterprise Data Architect

Zfinity Global

Remote • 4d ago

Easy Apply

Contract

80 - 85

Sr Enterprise Data Architect

Thermo Fisher Scientific

Remote or North Carolina • Today

Full-time

USD 125,000.00 - 175,000.00 per year

Data Architect

PamTen Inc

Remote • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Architect

General Dynamics

Remote • Today

Full-time

USD 195,240.00 - 264,148.00 per year

Data Architect

HMG America

Remote • Today

Easy Apply

Full-time

$DOE

Teamcenter Data Architect

Lyntris Inc

Remote • Today

Full-time

USD 113,483.00 - 154,769.00 per year

Data Architect

Tech Rakers

Remote • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Architect

System One

Remote • 23d ago

Easy Apply

Contract

$68

Data Architect

Newgen Technologies, Inc.

Remote • 13d ago

Easy Apply

Full-time

Depends on Experience

IT Ent. Data Architect

Convene Inc.

Remote • 25d ago

Easy Apply

Contract

$75 - $85

Salesforce Data Architect

NeuraFlash, Part of Accenture

Remote • Today

Full-time

Job Details

Skills

Robotics
Manufacturing
Decision-making
Embedded Systems
Workflow
Continuous Improvement
Business-IT Alignment
Reporting
Product Management
FOCUS
Data Modeling
Information Architecture
Data Structure
Facilitation
Data Governance
Data Quality
Communication
Documentation
Modeling
Meta-data Management
Domain-driven Design
Master Data Management
Reference Data
Semantics
Ontologies
TOGAF
Data Architecture
Data Management
Analytics
Artificial Intelligence

Robotics
Manufacturing
Decision-making
Embedded Systems
Workflow
Continuous Improvement
Business-IT Alignment
Reporting
Product Management
FOCUS
Data Modeling
Information Architecture
Data Structure
Facilitation
Data Governance
Data Quality
Communication
Documentation
Modeling
Meta-data Management
Domain-driven Design
Master Data Management
Reference Data
Semantics
Ontologies
TOGAF
Data Architecture
Data Management
Analytics
Artificial Intelligence

Summary

Enteprise Data Architect
Ashley Furniture Industries
About AshleyAshley 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 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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106707
Position Id: 3ca1a743ccf4c66b4f110468ab67f302
Posted 3 days ago

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Job Details

Skills

Robotics
Manufacturing
Decision-making
Embedded Systems
Workflow
Continuous Improvement
Business-IT Alignment
Reporting
Product Management
FOCUS
Data Modeling
Information Architecture
Data Structure
Facilitation
Data Governance
Data Quality
Communication
Documentation
Modeling
Meta-data Management
Domain-driven Design
Master Data Management
Reference Data
Semantics
Ontologies
TOGAF
Data Architecture
Data Management
Analytics
Artificial Intelligence

Robotics
Manufacturing
Decision-making
Embedded Systems
Workflow
Continuous Improvement
Business-IT Alignment
Reporting
Product Management
FOCUS
Data Modeling
Information Architecture
Data Structure
Facilitation
Data Governance
Data Quality
Communication
Documentation
Modeling
Meta-data Management
Domain-driven Design
Master Data Management
Reference Data
Semantics
Ontologies
TOGAF
Data Architecture
Data Management
Analytics
Artificial Intelligence

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

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

Dice Id: 10106707
Position Id: 3ca1a743ccf4c66b4f110468ab67f302
Posted 3 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

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Similar Jobs

Data Architect

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USD 125,000.00 - 175,000.00 per year

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