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 AreMinimum 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 business value.
- Excellent communication, collaboration, stakeholder management, and executive presentation skills.
- Experience with laboratory platforms such as LabVantage, LabWare, Agilent OpenLab CDS, Waters Empower, TetraScience, ValGenesis, or comparable solutions is preferred.
- Experience leading global laboratory transformation initiatives or implementing enterprise scientific data platforms is preferred.
LocationThis position is required to be site based in our Burlington, MA (first preference), Rockville, MD, St. Louis, MO or Darmstadt, Germany office location. We do offer a hybrid flexible work arrangement.
Pay Range: $108,300-$172,400
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
