Business Architect
Listed on 2026-09-05
-
IT/Tech
Business Systems & Technology Analysis, Data Engineering, Information Security & Data Protection, IT Consultant
Business Architect
- Digital Laboratory Solutions
Work Your Magic with us! Start your next chapter and join Millipore Sigma.
Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet.
That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.
Your Role:
The Business Architect
- Digital Laboratory Solutions within the Life Science DDIT Manufacturing and QC Laboratory Operations team, defines and advances the strategic digital laboratory architecture and roadmap across laboratory informatics, instrumentation, scientific data management, integration, and analytics. The role partners with Business Owners, Laboratory Operations, Quality, Manufacturing, OT, IT, and enterprise architecture teams to translate business priorities and regulatory needs into scalable, secure, and connected laboratory capabilities.
Acting as the bridge between laboratory processes and enterprise digital capabilities, this position provides architecture leadership across LIMS, ELN, SDMS, CDS, instrument connectivity, master data, data lifecycle management, and AI-enabled analytics. The role promotes standardized, governed, interoperable data and reusable technology patterns that enable compliant, efficient, intelligent, and increasingly paperless laboratory operations.
Brief Role Description:
- Define and maintain the digital laboratory target architecture, technology roadmap, architecture standards, and governance approach in alignment with business strategy, regulatory requirements, and corporate technology standards.
- Translate laboratory business processes and capabilities into integrated solution and data architecture spanning LIMS, ELN, SDMS, CDS, laboratory execution, instrument connectivity, ERP, MES, and analytics platforms.
- Provide architectural oversight from demand assessment and solution selection through design, validation, deployment, adoption, and operational support.
- Partner across Business, Quality, Manufacturing, OT, IT, cybersecurity, infrastructure, data governance, vendors, and delivery teams to resolve dependencies and deliver scalable solutions.
The above list of job duties is not exclusive or exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope of the post. Job descriptions will be regularly reviewed to ensure they are an accurate representation of the post.
Who You Are
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Life Sciences, Information Systems, or a related discipline.
- Advanced degree in Engineering, Information Technology, Data Science, or Life Sciences is preferred.
- Enterprise Architecture, Cloud, AI, Analytics, or related professional certification is an advantage.
- 10+ years of experience in laboratory informatics, digital laboratory transformation, enterprise or solution architecture, or a related field.
Preferred Qualifications:
- Deep knowledge of laboratory platforms and workflows, including LIMS, ELN, SDMS, CDS, laboratory instruments, and integration solutions.
- Experience with scientific data architecture, master data management, metadata, data governance, and data lifecycle management.
- Knowledge of regulated laboratory environments and expectations such as GxP, ALCOA+, data integrity, and relevant health authority requirements.
- Experience defining enterprise integration architectures, API-based integrations, cloud and data platforms, and IT/OT connectivity strategies.
- Working knowledge of AI, machine learning, advanced analytics, and responsible adoption within laboratory or scientific environments.
- Ability to lead cross-functional architecture discussions, evaluate options, manage technical risks, and translate complex concepts into clear…
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