Senior Enterprise Architect: Data, AI & Governance

REI

Seattle (WA)

Hybrid

USD 144,000 - 245,000

Full time

7 hours ago
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Job summary

REI is seeking an Enterprise Architect – Data & AI enablement to lead enterprise architecture across data governance, information architecture, and AI capabilities. You will shape long-term direction, align platforms with business strategy, and guide investments while ensuring coherence across data, security, and privacy disciplines.

The role partners with business and technology leaders to drive governance, model management, and platform roadmaps, balancing strategic vision with practical

Qualifications

  • Bachelor’s degree or equivalent experience in a related field.
  • 10+ years across software engineering and architecture disciplines.
  • Experience with enterprise data governance and AI-enabled platforms.
  • Strong communication and stakeholder-management skills.
  • Familiarity with TOGAF, Zachman, FEAF or similar frameworks.

Responsibilities

  • Define and evolve enterprise architecture strategy, principles, standards, and roadmaps.
  • Partner with leaders to align technology investments with business priorities.
  • Guide architecture decisions across data domains, applications, and infrastructure.
  • Lead governance activities, architecture reviews, and decision forums.
  • Drive data readiness for AI scaling and governance tooling.

Skills

Enterprise architecture
Data governance
AI architecture
Stakeholder management
TOGAF/FEAF

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
DAMA CDMP certification

Tools

LeanIX
Snowflake
Databricks
MLOps

Job description

REI is seeking an Enterprise Architect – Data & AI enablement to lead enterprise architecture across data governance, information architecture, and AI capabilities. You will shape long-term direction, align platforms with business strategy, and guide investments while ensuring coherence across data, security, and privacy disciplines.

The role partners with business and technology leaders to drive governance, model management, and platform roadmaps, balancing strategic vision with practical

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