Job Description About the role To support our global Commercial and Medical organizations, we are looking for an experienced Veeva Commercial Cloud Manager to develop and enhance our Veeva Vault CRM platform within a fast growing, highly regulated pharmaceutical environment. Our IS/IT is managed in-house and acts as a strategic enabler for implementing, developing, and supporting business-critical systems across the organization. In this role, you will be responsible for solutions that support our global Commercial and Medical teams, working in close collaboration with stakeholders across affiliates, headquarters functions, and external partners. This is a hands-on, global role combining system administration, configuration, solution design, and platform evolution within the Veeva Commercial Cloud ecosystem. The position is part of a European team, with flexibility for remote work within the European time zone, reporting to the Head of Digital Commercial based in Stockholm. Your impact will include Act as the global System Administrator for the Veeva Vault CRM platform Configure and evolve core Vault CRM modules (e.g. Account Management, Call Reporting, CLM, Events Management, Campaign Manager, Approved Email, Surveys, Medical Inquiry, Cycle Plans, Event Meetings) Translate complex business needs into scalable, compliant system solutions Manage roles, permissions, security, and data governance Provide operational support, troubleshooting, and user enablement Develop and maintain technical documentation, configuration records, and training materials Lead integrations with downstream data platforms and external digital ecosystems Collaborate with Commercial, Medical Affairs, Compliance, Regulatory, and Data teams to streamline processes and improve field efficiency Identify and implement innovative solutions—including generative AI and predictive analytics—to enhance HCP engagement and field productivity. Partner with Data Science teams on proof-of-concept initiatives such as AI-powered call note summarization, smart segmentation, and next-best-action recommendations.