Director, Technology – AI Engineering Transformation

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. We are seeking a Director, Technology to lead the transformation of our software delivery organization through AI-accelerated engineering practices, modern DevOps platforms, and developer experience (DevEx) innovation. This leader will oversee cross-functional teams spanning DevOps/SRE, Developer Tooling, and Automation Engineering while driving enterprise-wide adoption of AI-assisted software development. This highly visible role requires a blend of technical expertise, organizational leadership, and change management experience to modernize how software is built, tested, deployed, and operated across the enterprise.

Lead the strategy and execution of AI-accelerated software development and delivery across engineering teams. Drive adoption of AI-assisted development tools, agentic workflows, and modern engineering practices to improve developer productivity and software quality. Manage and develop teams responsible for DevOps, SRE, developer tooling, release engineering, and automation platforms. Establish governance, security controls, and best practices for AI-enabled software development. Own the engineering toolchain, including CI/CD, code quality, release automation, and cloud-native platform capabilities. Define and measure engineering effectiveness through DORA metrics, DevEx indicators, platform reliability, and operational performance. Partner with product, architecture, security, and business leaders to align technology investments with enterprise goals. Lead executive communications, business case development, and organizational change initiatives supporting engineering modernization.

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. 8+ years of progressive technology leadership experience, including leading software engineering, platform engineering, or DevOps organizations. 3+ years managing teams focused on SDLC automation, platform engineering, release engineering, or digital product delivery. Hands-on experience with cloud-native technologies, Kubernetes, and public cloud platforms (AWS, Azure, or GCP). Expertise implementing CI/CD pipelines, Infrastructure as Code (Terraform), and modern software delivery practices. Experience deploying and scaling AI-assisted development tools such as GitHub Copilot, Cursor, or similar AI coding platforms. Proven success leading enterprise-scale technology transformations and driving measurable improvements in delivery performance. Strong knowledge of platform reliability, observability, security, compliance, and operational excellence.

Deep technical expertise in modern application architectures, DevOps, SRE, and software engineering best practices. Strong understanding of AI-native development workflows, automation, and engineering productivity platforms. Experience with developer tooling ecosystems including GitHub, Jira, SonarQube, Artifactory, Backstage, LaunchDarkly, or similar platforms. Exceptional communication and executive storytelling skills with the ability to translate technical strategy into business outcomes. Demonstrated success leading organizational change and driving adoption across large engineering organizations. Strong talent leadership, including hiring, coaching, and developing high-performing engineering teams. A data-driven approach to improving engineering velocity, platform reliability, and developer experience. Passion for innovation and building modern engineering organizations capable of delivering at enterprise scale. What Succes Looks Like: AI-assisted development becomes a core capability across engineering teams, driving measurable improvements in productivity and delivery speed. Engineering teams consistently deliver secure, reliable, and scalable software through