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Director, Enterprise Architecture & Intelligent Automation

gitlab· 53 open roles

Remote RemoteFull-time1 months ago
Salary
$153,000 - $287,000
Experience
Mid
Job Type
Full-time
Posted
1 months ago
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About This Role

The Director, Enterprise Architecture & Intelligent Automation will define and govern how GitLab's internal systems connect, integrate, and evolve to support the rapidly scaling business. This role involves leading the Enterprise Architecture, Integration, & RPA teams and setting architectural standards, governance frameworks, and strategic vision. The director will establish and lead the Architecture Review Board, partnering with system owners to shape technical approaches and ensure architectural decisions align with enterprise standards and business objectives. The role is both deeply strategic and hands-on, requiring the ability to shape long-term architecture while guiding critical technical decisions across teams.

Key ResponsibilitiesAI-extracted

  • 1
    Define and drive GitLab's enterprise architecture strategy, setting clear principles and patterns for how internal systems connect, integrate, and scale across platforms.
  • 2
    Establish and lead GitLab's Architecture Review Board, engaging early with system owners and project teams to shape technical approaches and ensure architectural decisions align with enterprise standards and business objectives.
  • 3
    Create and execute a cohesive automation strategy that spans agentic AI, robotic process automation (RPA), and traditional integration technologies.
  • 4
    Lead efforts to reduce shadow IT and software sprawl by implementing software governance processes and partnering with system owners to centralize fragmented solutions.
  • 5
    Ensure enterprise, integration, and IA architectures meet SOX compliance and security requirements, including robust access controls, data governance, and audit-ready integration patterns.

RequirementsAI-extracted

  • Extensive experience defining and governing enterprise architecture in complex, matrixed organizations.
  • Deep technical background across integration, automation, and AI, with the ability to contribute meaningfully to design discussions and problem solving.
  • Expert-level knowledge of data modeling, integration architecture patterns, and API design, microservices architecture.
  • Strong experience establishing and leading architecture review boards or similar governance frameworks.
  • Demonstrated success reducing shadow IT and software sprawl through thoughtful software governance, portfolio rationalization, and roadmap alignment with enterprise architecture principles.

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: equity compensation and employee stock purchase plan
Typically: growth and development fund
Typically: parental leave

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