Senior Director, Enterprise Architecture and AI

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. An overview of this role As the Senior Director, Enterprise Architecture and AI, you will define and govern how GitLab's internal systems connect, integrate, and evolve to support our rapidly scaling business. Reporting to the CIO and serving as a key member of the CIO leadership team, you will lead our Integration, RPA, and AI Engineering teams, setting the architectural standards, governance frameworks, and strategic vision that keep our technology landscape coherent, scalable, and aligned with business objectives. This role is both deeply strategic and hands-on: you will shape the long-term architecture while staying close enough to the work to guide critical technical decisions across teams. As the architectural leader for GitLab's internal technology ecosystem, you will establish and lead our Architecture Review Board, partnering early and often with system owners so architecture becomes an enabler rather than a gate. You will rationalize our automation and integration landscape, clarify when to use AI, RPA, or traditional integration, reduce shadow IT and software sprawl, and drive clear patterns for data flows and system-of-record designations. In close partnership with the Director of AI Engineering and the CIO, you will be accountable for internal AI strategy and delivery, ensuring AI initiatives are secure, compliant, and integrated with core enterprise platforms while delivering measurable impact across sales, customer success, support, and operations. You will also set direction for how we use modern AI technologies like vector databases, large language models, fine-tuning, and prompt engineering to transform internal workflows while maintaining SOX compliance and strong security controls. What you'll do • 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 t