Enterprise Architect

About Re:Build

At Re: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 The Re:Build Way, 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)

Who we are looking for

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.

What you get to do

• Business Architecture

• Define, maintain, and communicate capability maps, value streams, process models, and organizational impact assessments.

• Align architecture plans with business outcomes, benefits, and important metrics; ensure traceability from strategy to delivery.

• Data Architecture

• Establish enterprise data principles, domain models, integration patterns, governance frameworks, and data quality standards.

• Architect data platforms supporting analytics, AI/machine learning, and real‑time decisioning (e.g., streaming, event processing).

• Define data ownership, stewardship, lineage, privacy, and security practices with data leaders and compliance teams.

• Ensure data designs enable responsible AI (model governance, bias monitoring, explainability, and auditability).

• Application Architecture

• Define target‑state application architecture emphasizing modularity/replaceability, interoperability, scalability, and lifecycle sustainability.