Biomerics is a world-class manufacturer and innovative polymer solutions provider for the medical device and biotech industries. As a vertically integrated company, we specialize in designing, developing, and producing medical devices for diagnostic and interventional procedures. We are focused on next-generation solutions for vascular access, electrophysiology, cardiac rhythm management, neurovascular, structural heart, and cardiovascular markets.

At Biomerics, we are dedicated to our diverse employee base. We understand that a strong, skilled, and engaged workforce is the foundation of our continued success as a business. We strive to live up to the Biomerics values in all our interactions. It is an exciting time to be part of our collective team, and there is no limit to the impact that can be achieved here at Biomerics. We improve and advance our employees' lives and the lives of the patients who depend on our products.

At Biomerics, we are guided by our core values of integrity, partnership, empowerment & accountability, trust, agility, teamwork, and excellence. We deeply care about our team members and customers, and our team-oriented, customer-focused corporate culture places a premium on building strategic, mutually beneficial partnerships. Joining our team means becoming part of a dynamic, innovative, and caring community.

Biomerics is seeking a Senior Enterprise Architect to lead the development and execution of enterprise architecture strategy across the organization, with a strong focus on enabling artificial intelligence, data-driven decision-making, automation, and digital transformation.

Reporting to the VP, Data & Technology Enablement, the Senior Enterprise Architect will partner with business leaders, IT, data, cybersecurity, operations, quality, engineering, manufacturing, and external technology partners to define target-state architecture and guide major technology decisions. This role will ensure Biomerics’ enterprise platforms, data foundations, integrations, and governance models are secure, scalable, AI-ready, and aligned with strategic business priorities.

This is a senior individual contributor and strategic leadership role requiring strong business acumen, technical depth, executive communication skills, and the ability to influence across functions. The successful candidate will help shape how Biomerics responsibly applies AI, advanced analytics, automation, and modern enterprise platforms to improve productivity, quality, operational performance, and business agility.

Responsibilities

• 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.

• 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.

Preferred Qualifications

• Master’s degree in Information Systems, Computer Science, Engineering, Business, Data Science, or a related field.
• Enterprise architecture certification such as TOGAF, Zachman, or equivalent.
• Cloud certification such as Microsoft Azure Solutions Architect, AWS Solutions Architect, or Google Cloud Professional Cloud Architect.
• Experience with AI strategy, AI governance, machine learning platforms, generative AI solutions, intelligent automation, MLOps, or enterprise analytics platforms.
• Experience with mergers, acquisitions, enterprise system harmonization, or multi-site manufacturing environments.
• Experience with IT governance, portfolio management, business capability modeling, application rationalization, and technology lifecycle management.
• Familiarity with Agile, DevOps, ITIL, NIST, ISO 27001, data governance frameworks, and regulated quality management frameworks.
• Experience with Microsoft enterprise technologies, modern data platforms, analytics tools, integration platforms, and AI-enabled productivity solutions.

Key Competencies

• Strategic technology and AI leadership
• Enterprise systems thinking
• Business, data, and technology alignment
• Responsible AI governance
• Architecture governance
• Executive communication
• Cross-functional influence
• Data-driven decision-making
• Risk management
• Change leadership
• Vendor and partner management
• Practical problem-solving
• Continuous improvement mindset

Success Measures

• Enterprise architecture roadmap is clearly defined, communicated, and adopted across the organization.
• Biomerics has a clear, practical roadmap for AI enablement, data modernization, automation, and digital transformation.
• Technology and AI investments align with business priorities, enterprise standards, cybersecurity requirements, and long-term scalability needs.
• Enterprise data foundations improve, enabling better analytics, reporting, AI use cases, and decision-making.
• Application and integration complexity are reduced over time.
• Enterprise platforms become more secure, reliable, integrated, intelligent, and easier to support.
• AI solutions are adopted responsibly, with appropriate governance, security, data quality, and business ownership.
• Architecture governance improves decision quality without slowing business execution.
• Business and technology teams have clear guidance for solution design, platform selection, AI adoption, and future-state planning.
• Data, application, infrastructure, security, and AI strategies are aligned to support Biomerics’ growth and operational excellence.

Why Join Biomerics?

At Biomerics, you will be part of a collaborative and growth-oriented organization dedicated to improving lives through innovation and manufacturing excellence. We value individuals who are passionate about building strategic customer partnerships and driving operational and commercial success within the medical device industry.

Benefits: Medical/Dental/Vision Insurance, Short-Term Disability, Long-Term Disability, Life Insurance, Paid Vacation Days, Paid Holidays, 401k.

The salary estimates are estimates from this job board and not a guarantee from Biomerics' salary range.

Biomerics does not accept non-solicited resumes or candidate submittals from search/recruiting agencies that are not already on Biomerics' approved agency list. Unsolicited resumes or candidate information submitted to Biomerics by search/recruiting agencies not already on Biomerics approved agency list shall become the property of Biomerics, and if Biomerics subsequently hire the candidate, Biomerics shall not owe any fee to the submitting agency.