Enterprise Architect

Architecture Strategy and Future-State Design:

• Define the future-state data architecture, including domains and semantic layers.
• Document current data flows, identifying gaps and risks.
• Develop transition roadmaps aligned with scalability.

Govern Data Domain Architects and Data Architecture Practices:

• Build frameworks and tooling for Data Domain Architects.
• Review and approve conceptual data models.
• Ensure data architecture is embedded into project intake.

Enable Trusted, AI-Ready, High-Quality Enterprise Data:

• Define the enterprise semantic layer for KPIs and metrics.
• Establish data quality standards and lineage requirements.
• Ensure architecture supports AI/ML readiness.