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Tech Stack
Tools & technologiesCloudCyber SecurityERP
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Medical/Dental/Vision Insurance
- Short-Term Disability
- Long-Term Disability
- Life Insurance
- Paid Vacation Days
- Paid Holidays
- 401k
ATS Keywords
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Hard Skills & Tools
enterprise architectureAI architecturedata architecturesolution architecturesystems integrationdata governancemachine learningautomationcloud architectureintegration patterns
Soft Skills
communication skillsinfluencecross-functional decision-makingleadershipstrategic alignmentproblem-solvingcollaborationtechnical leadershipfacilitationadaptability