GitLab

Senior Director, Enterprise Architecture, AI

GitLab

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $1 per year

Job Level

Tech Stack

About the role

  • 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.
  • 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.
  • 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.
  • Co-own internal AI program strategy and delivery with the Director of AI Engineering and CIO, ensuring AI initiatives are architected for scalability, compliance, and measurable business impact across sales, customer success, support, and operations.
  • 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.
  • 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.
  • Ensure enterprise, integration, and AI architectures meet SOX compliance and security requirements, including robust access controls, data governance, and audit-ready integration patterns that balance risk management with business agility.
  • Align decentralized system roadmaps with enterprise architecture strategy, systematically identify and address technical debt, and provide hands-on technical leadership and mentorship to Integration, RPA, and AI Engineering teams to elevate architectural thinking and execution.

Requirements

  • 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, or AI Engineering teams and contribute meaningfully to design discussions and problem solving.
  • Proven track record building and scaling AI and automation programs, including hands-on familiarity with modern AI technologies such as vector databases, large language models, fine-tuning, prompt engineering, and agentic workflows.
  • Expert-level knowledge of data modeling, integration architecture patterns, and API design, 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.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
enterprise architectureintegration architectureAPI designdata modelingautomationAI technologiesrobotic process automationvector databaseslarge language modelsprompt engineering
Soft Skills
communicationinfluencingleadershipmentorshipproblem solvingstakeholder engagementstrategic thinkingcollaborationgovernancealignment