Enterprise Architecture Operations Lead

 Posted a day ago
  
 Worldwide
  
⭐ 2-5 years experience
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AI Summary

The role focuses on owning operational, data, and governance activities to support the Enterprise Architecture function. It involves coordinating between internal teams and managed service providers to drive the transition toward a target IT operating model.

This is a remote position.

Nextlink is seeking The Enterprise Architecture (EA) Operations Lead will support the EA function by owning operational, data, and governance activities. This role ensures alignment and coordination across internal teams, managed service providers (MSPs), and AI-augmented delivery, driving the transition towards the target IT operating model.


Skills

  • Strong analytical and organisational skills.

  • TOGAF Certification (mandatory).

  • Minimum 2 years of experience in a similar role.

  • Background in IT, architecture, or data environments.

  • Ability to coordinate across multiple stakeholders and teams.

  • Comfortable with governance processes and structured workflows.

  • Knowledge of ARCHIMATE and ITIL4 (advantage).

  • Experience with Business Intelligence tools (e.g., Power BI) is desirable.



  • Requirements

    Architecture Demand & Governance

    • Manage architecture demand and coordinate governance workflows.

    • Prepare governance materials in collaboration with project teams.

    • Ensure consistency and quality of architecture inputs across governance forums.

    EA Data, Reporting & Insights

    • Own EA data, reporting, and insight enablement.

    • Maintain and enhance EA data products (capabilities, applications, etc.).

    • Support Power BI reporting and decision-support artifacts.

    Capability & Maturity Management

    • Support capability assessments and maturity tracking.

    • Coordinate input from business and IT stakeholders.

    • Ensure consistency and quality of capability data.

    Tooling & Integration Enablement

    • Support EA tooling (e.g., ADOIT) and integrations (CMDB, data platform, etc.).

    • Improve usability and adoption of EA datasets and tools.

    • Collaborate with data and integration teams for alignment.

    Cross-Team Alignment

    • Act as an alignment layer across internal teams, MSPs, and governance bodies.

    • Ensure consistency of architectural artifacts and decisions.

    • Promote standardized architecture practices across the organization.


    Key Outcomes

    • Increased strategic capacity of Enterprise Architecture.

    • Improved alignment across internal, external, and AI-driven delivery.

    • More efficient and effective governance processes.

    • Higher quality EA data and reporting for decision-making.



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