Senior Enterprise Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

💻 IT Support

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Biomerics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

Biomerics is a medical device contract manufacturer specializing in the development and manufacturing of complex interventional components and devices. With expertise in engineering innovative solutions, Biomerics offers a wide range of capabilities from polymer and metal expertise to in-house custom compounding. The company serves as a strategic partner to original equipment manufacturers (OEMs) in the medical industry, providing end-to-end solutions from design to final assembly. Biomerics is known for its minimally invasive device expertise and strategic global locations, offering customer-focused, scalable manufacturing solutions.

📋 Description

• Develop, maintain, and govern the enterprise architecture strategy, principles, standards, and roadmap • Define an AI-ready enterprise architecture that supports artificial intelligence, machine learning, generative AI, automation, advanced analytics, and intelligent business processes • Partner with executive, business, and technology leaders to translate business priorities into enterprise technology and AI-enabled capabilities • Assess current-state architecture and define future-state architecture across applications, data, integrations, infrastructure, cloud, cybersecurity, AI platforms, and business capabilities • Lead architecture planning for enterprise platforms, including ERP, MES, CRM, PLM, QMS, data platforms, AI/ML platforms, integration platforms, collaboration technologies, and automation tools • Establish architecture standards, design patterns, governance processes, and decision frameworks to ensure consistency, scalability, security, and responsible AI adoption • Partner with data leaders to strengthen enterprise data architecture, data governance, master data, data quality, analytics, reporting, and AI/ML enablement • Guide the evaluation and selection of AI, analytics, automation, and enterprise technology solutions that create measurable business value • Support the development of AI governance practices, including data security, model risk management, ethical use, compliance, transparency, human oversight, and lifecycle management • Collaborate with cybersecurity and infrastructure teams to ensure AI and enterprise architecture decisions support security, privacy, compliance, business continuity, and regulatory requirements • Identify opportunities to use AI, automation, and digital capabilities to improve productivity, operational efficiency, quality, decision-making, and customer responsiveness • Guide solution architecture for enterprise initiatives, acquisitions, integrations, modernization efforts, and digital transformation programs • Identify opportunities to reduce technical debt, simplify the application portfolio, improve interoperability, and increase operational resilience • Facilitate architecture reviews and provide technical leadership across programs, projects, vendors, and cross-functional teams • Develop architecture artifacts, including capability maps, application portfolio views, AI capability roadmaps, integration diagrams, data flow diagrams, reference architectures, and decision records • Stay informed on emerging technologies, especially in AI, data platforms, cloud, automation, cybersecurity, and manufacturing technology, and assess their relevance to Biomerics’ business strategy • Communicate architecture direction, tradeoffs, risks, and recommendations clearly to both technical and non-technical stakeholders.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field • 10+ years of progressive experience in IT, enterprise architecture, solution architecture, systems integration, data architecture, AI enablement, or technology leadership • 5+ years of experience developing enterprise architecture roadmaps, standards, target-state designs, and governance practices • Strong understanding of enterprise architecture domains, including business, application, data, integration, infrastructure, cloud, cybersecurity, and AI architecture • Experience with enterprise systems such as ERP, MES, PLM, CRM, QMS, data platforms, integration middleware, identity management, analytics tools, and automation platforms • Demonstrated understanding of AI and data architecture concepts, including data pipelines, data governance, machine learning enablement, generative AI, APIs, model lifecycle considerations, and secure AI adoption • Experience supporting complex business environments such as manufacturing, medical device, life sciences, healthcare, or other regulated industries • Demonstrated ability to align technology strategy with business strategy, operational needs, and measurable business outcomes • Strong knowledge of cloud platforms, integration patterns, APIs, data architecture, cybersecurity principles, and modern infrastructure practices • Proven ability to influence senior stakeholders, facilitate cross-functional decision-making, and lead through ambiguity • Excellent written, verbal, and executive-level communication skills.

🏖️ Benefits

• Medical/Dental/Vision Insurance • Short-Term Disability • Long-Term Disability • Life Insurance • Paid Vacation Days • Paid Holidays • 401k