Enterprise Architect (EA) Consultant - Sacramento, CA

NavitasPartnersSacramento, CA
11hHybrid

About The Position

"Navitas Partners, LLC" is seeking a senior Enterprise Architect (EA) Consultant to lead tactical enterprise architecture execution while designing and standing up a centralized EA Office within a unified Strategy & Governance function. This role combines hands-on solution architecture leadership with governance model design, AI enablement, automation, and PMO/BRM integration.

Requirements

  • Bachelor’s in Engineering/Technical Sciences
  • 15+ years IT experience (infrastructure, enterprise systems, data architecture)
  • 15+ years in enterprise data architecture, migration, and governance
  • Experience implementing AI and automation in IT governance/processes
  • Strong background in enterprise governance models (procurement, cybersecurity, AI, integrations)
  • Expertise in cloud platforms, SQL, enterprise architecture frameworks
  • Enterprise/Solution Architecture, ADRs, capability modeling
  • Cloud & Integration (event-driven, IAM)
  • Data & AI governance, ETL/ELT, AI/ML lifecycle, prompt engineering
  • Power Platform, Power BI, M365 Copilot
  • Azure DevOps or Jira; data catalog/lineage tools (e.g., Purview)

Nice To Haves

  • TOGAF, ITIL/COBIT, Azure, SAFe certifications
  • Master’s degree (Technical field)

Responsibilities

  • Develop solution intents, ADRs, and reference architectures
  • Establish and enforce cloud, data, integration, security, and AI standards
  • Lead Architecture Review Board (ARB); manage exceptions and technical debt
  • Maintain capability maps and technology roadmaps aligned to business strategy
  • Embed security/privacy-by-design and regulatory compliance
  • Evaluate vendors, software purchases, and system interoperability
  • Oversee CMDB optimization and technology lifecycle governance
  • Partner with executives and business leaders to align IT strategy
  • Define EA Charter, Operating Model, Service Catalog, and RACI
  • Establish demand-to-delivery lifecycle (intake → triage → ARB → delivery checkpoints)
  • Design EA organizational structure (domain architects, analysts)
  • Implement tooling (Power Platform, Power BI, DevOps, artifact repository)
  • Develop compliance, risk, reuse, and benefit realization dashboards
  • Lead change management, adoption, and executive reporting
  • Standardize and automate intake & triage workflows
  • Establish AI use-case registry, model governance, and prompt libraries
  • Implement data governance guardrails (lineage, catalog, MDM, migration playbooks)
  • Enable PMO automation (stage gates, RAID logs, reporting, Copilot enablement)
  • Develop financial dashboards linking portfolio costs to business outcomes
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