• 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.