Enterprise Data Architect: Align Data, Enable AI

Freemotion from iFIT; Tampa (FL); Presencial; USD 140.000 - 190.000; Tempo integral

Resumo da vaga

Ashley Furniture Industries is seeking an Enterprise Data Architect to define the shared data foundation across the enterprise. You will translate business concepts into reusable data models, enforce authoritative definitions, and enable trusted AI and analytics through aligned data across domains.

Responsibilities include establishing common language, guiding data product enablement, and resolving cross-domain conflicts to accelerate value delivery.

Qualificações

• 5+ years in enterprise data modeling or data architecture.
• Experience developing conceptual and logical models across multiple domains.
• Ability to translate business language into precise definitions and data structures.
• Experience facilitating cross-functional alignment with SMEs, data engineers, analysts, and governance.
• Familiarity with metadata management, data catalogs, governance, and data quality concepts.
• Strong written communication and documentation of models and decisions.

Responsabilidades

• Define and evolve enterprise 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.
• Develop authoritative definitions for cross-domain business concepts.
• Embed enterprise context into data product design and catalogs.
• Identify gaps in standards based on real-world usage and drive improvement.

Conhecimentos

Enterprise data modeling

Data architecture

Semantic modeling

Metadata management

Data catalogs

Data governance

Clear communication

Formação

CDMP / DAMA / TOGAF certification

Descrição da vaga

Ashley Furniture Industries is seeking an Enterprise Data Architect to define the shared data foundation across the enterprise. You will translate business concepts into reusable data models, enforce authoritative definitions, and enable trusted AI and analytics through aligned data across domains.

Responsibilities include establishing common language, guiding data product enablement, and resolving cross-domain conflicts to accelerate value delivery.