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# Project Lead Global Data Trending Solution Cloud - Sant Cugat Del Vallès

- **Company:** Boehringer Ingelheim
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Audit Trail, Cloud Computing, Data Integration, Data Systems, Systems Analysis, Metadata, Data Streaming, Enterprise Data Management, Data Lakes, Data Analytics, Data Management, GXP
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/project-lead-global-data-trending-solution-cloud-sant-cugat-del-valles-en-barcelona-ID-372114228

## About the Role

Requisitos principalesDegree or equivalent professional experience in IT, systems analysis, data management, engineering or related discipline
Senior experience in IT or data project management with end-to-end delivery
Experience coordinating multidisciplinary teams and global stakeholders
Practical knowledge of cloud data ecosystems, data lakes, data integration, data quality, metadata, interfaces, reporting and analytics
Experience in regulated or GxP environments with validation, audit trail and compliant documentation
High autonomy and ability to operate with limited supervision
Strong analytical thinking and ability to structure complex information
Clear written, verbal and executive communication adapted to technical and business audiences
Disciplined organization, documentation and follow-up with delivery focus
Familiarity with BI Dataland or equivalent enterprise data platforms is desirable
Professional working English; German or Spanish as an asset
stakeholder coordination
strong communication
structured thinking
cloud data ecosystems
data lakes
data integration

## Description

OverviewIn this role you guide the cloud evolution of GDTS, align data integration and analytics capabilities, and coordinate data-driven use cases within the BI Dataland ecosystem.You will lead projects, analyze processes, and translate requirements into actionable, governed data solutions in a regulated setting.You'll work with business, IT, data teams, suppliers, and stakeholders to deliver scalable outcomes that meet quality and compliance criteria.This is an opportunity to shape cloud data delivery and drive measurable impact across teams.Compensaciones / BeneficiosFlexible working conditionsLife and accident insuranceHealth insurance at a competitive priceInvestment in your learning and developmentGym membership discountsResponsabilidadesPlan and coordinate GDTS Cloud initiatives using structured project managementManage priorities, risks, issues, milestones, and decisions with transparent trackingPrepare roadmaps, executive summaries, and decision logsFacilitate workshops and cross-functional alignment sessionsAnalyze current and future GDTS Cloud processes, including dashboards and data consumptionTranslate business and quality needs into functional, technical, and data requirements with acceptance criteriaDefine data flows, interfaces, transformation rules, controls, and validation pointsWork with data sources, ingestion, cleansing, mapping, metadata, data quality, and audit trailSupport connection between GDTS Cloud and BI Dataland ecosystems, including data products and reportingCoordinate multidisciplinary teams and suppliers, resolve blockers, and ensure quality deliveryContribute to transition, training, handover, and long-term solution sustainabilityRequisitos principalesDegree or equivalent professional experience in IT, systems analysis, data management, engineering or related disciplineSenior experience in IT or data project management with end-to-end deliveryExperience coordinating multidisciplinary teams and global stakeholdersPractical knowledge of cloud data ecosystems, data lakes, data integration, data quality, metadata, interfaces, reporting and analyticsExperience in regulated or GxP environments with validation, audit trail and compliant documentationHigh autonomy and ability to operate with limited supervisionStrong analytical thinking and ability to structure complex informationClear written, verbal and executive communication adapted to technical and business audiencesDisciplined organization, documentation and follow-up with delivery focusFamiliarity with BI Dataland or equivalent enterprise data platforms is desirableProfessional working English; German or Spanish as an assetstakeholder coordinationstrong communicationstructured thinkingcloud data ecosystemsdata lakesdata integration


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