The role sits at the intersection of science, laboratory informatics, data, integration, cloud, and automation technologies, partnering with scientists, laboratory users, technical teams, and client stakeholders to identify automation opportunities and translate complex experimental workflows into robust, production-ready solutions spanning scientific system integrations, data components, workflow orchestration, AI-enabled capabilities, and next-generation data pipelines. The Automation Lead will provide technical leadership across solution architecture, integration strategy, automation frameworks, testing, CI/CD, production readiness, and delivery, while mentoring engineering teams, establishing reusable automation patterns and accelerators, managing technical dependencies, and serving as a key technical interface with clients.