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Re:Build Manufacturing is seeking a senior Enterprise Architect to define and govern the organization's architecture across business, data, application, and technology domains. You will translate strategic objectives into cohesive, scalable, and secure architectures that enable measurable outcomes.
Partner with business leaders and engineering teams to establish capability maps, data principles, and cloud strategies, incorporating AI to accelerate decision-making while maintaining compliance and
AtRe:Build, our mission is to ensure the next generation of important products are made, at scale, in America. We are laying the foundation for a better future for our customers, employees, and communities by revitalizing America's manufacturing base and creating meaningful jobs across the country, including in historically deindustrialized regions.
We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical verticals including aerospace and defense, electrification, medical, energy and environment, and robotics and automation.
The way we operate is as important as the work we do. It's guided by TheRe:BuildWay, 16 principles that shape how we collaborate with each other, partner with our customers and vendors, and contribute to the communities where we operate. (link to The Re:Build Way principles )
The Enterprise Architect is a senior technology leader responsible for defining, governing, and realizing the organization’s enterprise architecture across Business, Data, Application, and Technology/Platform domains. This role ensures strategic business objectives are translated into cohesive, implementable architectures that are secure, scalable, resilient, and cost‑effective. This individual collaborates closely with business and process leaders and technical teams to deliver measurable outcomes. The role brings to bear artificial intelligence (AI) to improve architectural analysis, accelerate decision‑making, and improve execution efficiency—while ensuring responsible and compliant AI adoption.
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