ARGONNE

Energy Storage Program Lead: AI and Data Centers

Lemont, IL USA · Contract

Sponsorship not specified$138k-$215kDetected 30 days ago

Machine LearningBusiness DevelopmentMechanical DesignResearchCommunicationCollaboration

About the role

Argonne National Laboratory invites applications for a dynamic and collaborative leader to help shape the future of energy storage for AI and data center applications.
Please note that the pay range information is a general guideline only.
Argonne encourages everyone to apply for employment.

Responsibilities

Working closely with the Director of ACCESS, the ACCESS Stationary Storage Lead, Division Directors, and research leaders, the Energy Storage Program Lead for AI and Data Centers will develop and execute a growth strategy for a multi-million-dollar R&D program focused on advancing stationary energy storage solutions.
The Program Lead will serve as a key connector between battery scientists and technologists and AI and data center practitioners, translating real-world operational needs into high-impact R&D objectives.
In collaboration with the Stationary Storage Lead and Argonne's business development team, this individual will cultivate strategic partnerships with battery companies, data center providers, hyperscalers, system integrators, distributed energy resource solution providers, utilities, and government organizations to secure funding and expand the program's impact.
A central goal for this role over the next 2-3 years is to build and lead a world-class R&D program in energy storage that addresses the evolving energy demands of data centers and the broader electric grid sector.
Background in developing battery systems for stationary storage applications, including understanding the role of energy storage on the grid, integration considerations, and economic factors
Experience building and maintaining effective relationships with a diverse set of sponsors, influencing program direction, and pursuing funding opportunities
Strong oral and written communication skills, along with the ability to build productive professional relationships
Proven track record of leading R&D teams in developing technology solutions and building research programs, including concept development, securing funding, and delivering outcomes

Requirements

Knowledge of the growing fields of AI/ML and robotic laboratories
Experience working with utilities, system integrators, distributed energy resource companies, and related stakeholders
Ability to learn Argonne's organizational structure and funding landscape
Ability to learn Laboratory and DOE policies and procedures
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Compensation

Please note that the pay range information is a general guideline only.

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