Data, Compute, Automation, and AI (DCAA), Team Lead

Specific Responsibilities

• Lead and coordinate the development and execution of a facility-wide approach to data, compute, automation, and workflow integration.
• Build, mentor, and manage a multidisciplinary team spanning data architecture, software engineering, controls/automation, and compute integration.
• Guide the development and deployment of shared solutions for metadata capture, data organization, workflow orchestration, and analysis tools that support both experimental stations and accelerator use cases.
• Work in close coordination with SSRL division directors and facility staff to align priorities, scope efforts, and ensure that DCAA activities support scientific and operational objectives.
• Establish and maintain reliable and supported pathways for data movement, storage, and analysis, while serving as a visible representative of SSRL in DOE computing initiatives, including ASCR and national platforms such as the American Science Cloud, ensuring strong engagement and leadership presence in these efforts.
• Oversee the development of automation, first-pass analysis workflows, and real-time feedback capabilities that improve experimental efficiency and data accessibility across the facility.

Qualifications

• An advanced degree (minimum Master's, PhD preferred) in a relevant field such as physics, chemistry, materials science, computer science, engineering, or a related discipline.
• Demonstrated experience leading technical teams and delivering complex projects in scientific, engineering, or data-intensive environments.
• A strong background in either scientific research or computational/data systems, with the ability to operate effectively at the interface between experimental workflows and computing infrastructure.
• Experience working in, or closely with, experimental or facility environments, with an understanding of operational constraints, user-facing workflows, and the need for reliable, production-level solutions.
• Proven ability to translate diverse and sometimes competing requirements into practical, scalable approaches that can be adopted across multiple teams and use cases.
• Experience coordinating efforts across organizational boundaries and working effectively with scientists, engineers, and computing professionals at different levels of expertise.
• Strong communication, collaboration and leadership skills, including the ability to guide technical direction, build alignment across stakeholders, and represent activities at the institutional or national level.