
501 - 1000 employees
Founded 2020
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Re:Build Manufacturing is an innovative company dedicated to revitalizing American industrial capabilities through a transformative model of manufacturing and engineering. Their approach integrates product innovation, component production, and system production, leveraging state-of-the-art industrial automation. By collaborating closely with customers ranging from startups to Fortune 500 companies, Re:Build Manufacturing delivers customized, flexible manufacturing solutions across various sectors such as aerospace, consumer goods, healthcare, and industrial equipment. The company is committed to continuous improvement, transparency, and long-term partnerships, effectively adapting to the needs of American industry.
🕒 October 24
Where this job comes from
Posted on Re:Build Manufacturing's careers page, not through a job board
First seen by Remote Rocketship October 24
Still open on Re:Build Manufacturing's site. Checked 5 hours ago.

501 - 1000 employees
Founded 2020
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Re:Build Manufacturing is an innovative company dedicated to revitalizing American industrial capabilities through a transformative model of manufacturing and engineering. Their approach integrates product innovation, component production, and system production, leveraging state-of-the-art industrial automation. By collaborating closely with customers ranging from startups to Fortune 500 companies, Re:Build Manufacturing delivers customized, flexible manufacturing solutions across various sectors such as aerospace, consumer goods, healthcare, and industrial equipment. The company is committed to continuous improvement, transparency, and long-term partnerships, effectively adapting to the needs of American industry.
• Define, govern, and realize enterprise architecture across Business, Data, Application, and Technology/Platform domains • Define capability maps, value streams, process models, and organizational impact assessments • Establish data principles, domain models, integration patterns, governance frameworks, and data quality standards • Architect data platforms for analytics, AI/machine learning, and real-time decisioning • Define application architectures emphasizing modularity, interoperability, scalability, and lifecycle sustainability • Create blueprints for platforms, infrastructure, integration layers, and hybrid or multi-cloud environments • Establish enterprise architecture policies, standards, reference architectures, roadmaps, and guardrails • Lead architecture review boards and initiative checkpoints • Embed zero-trust, security-by-design, privacy, audit, and regulatory requirements into architecture patterns • Conduct threat modeling and resilience planning • Build roadmaps from impact and gap analysis and translate them into actionable implementation plans • Rationalize application portfolios, reduce technical debt, and lead modernization or migration paths • Use AI and generative AI for architectural analysis, documentation, scenario modeling, solution design, and governance workflows • Define guardrails for responsible enterprise AI, including data requirements, MLOps, model lifecycle, and compliance • Guide delivery teams through design, build, and release; remove blockers and track execution • Validate post-implementation outcomes, security, compliance, and time-to-value realization • Advise senior leadership on modernization, platform strategy, and enterprise capability evolution • Mentor architects, engineers, analysts, and product leaders • Foster transparency, shared problem-solving, and continuous improvement
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field • 10+ years of progressively responsible experience in enterprise, solution, data, application, or platform architecture • Pragmatic application of EA frameworks, such as TOGAF and Zachman • Solid understanding of business systems, including ERP, MES, CAD, PLM, and QMS • Understanding of cloud platforms, distributed systems, integration frameworks, and modern application design • Strong understanding of AI/ML, data architectures, and modern security frameworks • Track record leading and realizing large-scale transformation or modernization initiatives with measurable outcomes • Outstanding communication, facilitation, and collaborator leadership skills • Preferred: experience with multi-cloud or hybrid architectures • Preferred: exposure to product-centric operating models, focused build approaches, and platform engineering • Preferred: experience in regulated government or global enterprise environments • Preferred: experience in manufacturing environments and processes • Preferred: familiarity with Lean manufacturing processes
• Annual incentive compensation eligibility • Long-term incentives eligibility • Medical insurance • Dental insurance • Vision insurance • Retirement benefits • Paid time off • Company-wide shared ownership • Financial rewards tied to company success • Reasonable accommodations for qualified individuals with disabilities
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