Global Business Services hub for medical device company operations
Dexcom Lithuania is a 430+ person Global Business Services center in Vilnius supporting the parent company's international operations. The stack—Oracle Fusion, Veeva (CRM/Vault), OneTrust, RPA, and BI tools (Tableau, Cognos)—reflects a back-office-heavy operation managing finance, compliance, and vendor workflows across regulated healthcare. Hiring is support and finance-led with 32 open roles in the last 30 days, while projects cluster around process automation, privacy compliance, and operational scaling—consistent with a GBS mandate to handle the administrative and regulatory complexity of a public medical device manufacturer.
Notable leadership hires: Strategy Lead
Dexcom Lithuania operates as a regional hub for the Dexcom organization, launched in 2020 to centralize technical support, finance, clinical affairs, product design, business transformation, and compliance functions. The office serves as the largest EMEA outpost for Dexcom, a publicly traded medical device company. Teams here handle customer advocacy, regulatory submissions, vendor management, expense processing, and privacy governance on behalf of the broader organization. The operating model is characterized by structured process work: contract lifecycle management, accruals reporting, vendor onboarding, and SLA-driven support operations.
Oracle Fusion, Veeva CRM/Vault, OneTrust, Jira, Smartsheet, IronClad, RPA, Tableau, Cognos, and Concur. This mix reflects finance ERP, life-sciences CRM, contract/privacy management, and analytics for a regulated operations hub.
430+ employees. The office opened in 2020 and is currently the largest Dexcom facility in EMEA.
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Dexcom Lithuania's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.