Director, Enterprise Architecture & Intelligent Automation
New
G
GitLabDevSecOps
Remote, USFull-TimeDirector
Salary153000 - 287000 USD per year
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Job Details
- Required Skills
- Artificial IntelligenceSalesforceData modelingNetSuiteCRM
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 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.
Responsibilities
- 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 including applying business capability & EA framework such as TOGAF
- 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.
- 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 IA 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 IA Engineering teams to elevate architectural thinking and execution.
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