Director, Enterprise Architecture & Intelligent Automation

GitLab GitLab · Enterprise · United States · Enterprise Applications

Director of Enterprise Architecture & AI Intelligent Automation responsible for defining and governing how GitLab's internal systems connect, integrate, and evolve. This role will lead Enterprise Architecture, Integration, & RPA teams, setting architectural standards, governance frameworks, and strategic vision. The role involves shaping the long-term architecture, establishing an Architecture Review Board, rationalizing automation and integration, and clarifying when to use AI, RPA, or traditional integration. The goal is to reduce shadow IT and software sprawl, drive clear patterns for data flows, and ensure compliance with SOX and security requirements.

What you'd actually do

  1. Define and drive GitLab's enterprise architecture strategy, setting clear principles and patterns for how internal systems connect, integrate, and scale across platforms like Salesforce, NetSuite, Zuora, Workato, and other core business applications.
  2. Establish and lead GitLab's Architecture Review Board, engaging early with system owners and project teams to shape technical approaches, guide integration patterns, and ensure architectural decisions align with enterprise standards and business objectives including applying business capability & EA framework such as TOGAF
  3. Design and govern integration architectures and data flow patterns, including API-first approaches, point-to-point integrations, and data warehouse and reverse ETL models, in close partnership with Data Governance and other cross-functional stakeholders.
  4. Create and execute a cohesive automation strategy that spans agentic AI, robotic process automation (RPA), and traditional integration technologies, rationalizing existing investments and defining clear decision frameworks for tool selection.
  5. Lead efforts to reduce shadow IT and software sprawl by implementing software governance processes, partnering with system owners to centralize fragmented solutions, eliminate redundant capabilities, and reduce technical debt and unnecessary spend.

Skills

Required

  • Extensive experience defining and governing enterprise architecture in complex, matrixed organizations, including leading architecture strategy across core business systems such as ERP, CRM, CPQ, billing, and financial platforms.
  • Deep technical background across integration, automation, and AI, with the ability to step into Architecture, Integration, RPA teams and contribute meaningfully to design discussions and problem solving.
  • Expert-level knowledge of data modeling, integration architecture patterns, and API design, microservices architecture, including experience designing integration strategies that support both operational and analytical use cases.
  • Strong experience establishing and leading architecture review boards or similar governance frameworks, balancing partnership-oriented engagement with clear, enforceable standards.
  • Demonstrated success reducing shadow IT and software sprawl through thoughtful software governance, portfolio rationalization, and roadmap alignment with enterprise architecture principles.
  • Deep understanding of SOX compliance, internal controls, and security architecture for business applications, with experience designing audit-ready integration and automation patterns.
  • Exceptional communication and influencing skills, with the ability to engage VP and C-level stakeholders, translate complex architectural concepts into clear business language, and drive alignment across decentralized teams.

What the JD emphasized

  • SOX compliance
  • security requirements

Other signals

  • AI as a core productivity multiplier
  • incorporate AI into their daily workflows
  • agentic AI
  • rationalizing existing investments and defining clear decision frameworks for tool selection