Descripción de la oferta
About XebiaWith over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+ professionals working toward a worldwide ambition.We are organized in complementary service lines with deep expertise across Agile, DevOps, Data & AI, Cloud, Software Technology, Intelligent Automation, and Microsoft ecosystems.We help leading global organizations overcome digital challenges, embrace innovation, and implement modern technology solutions that drive measurable impact.For more details, please visit OverviewRole: Senior Product Manager – Data EngineeringExperience: 4+ years in Product Management (Data/Platform preferred)We're seeking a Senior Product Manager to lead scalable, high-volume data services. You'll define and prioritize data capabilities supporting 300+ annual ingestion requests, pipeline orchestration, harmonization, ETL/ELT workflows, and downstream service needs.You'll act as the bridge between scientific stakeholders, product teams, and Data Engineering—ensuring services are reliable, scalable, and strategically aligned. This role requires strong product ownership, deep familiarity with data platforms, and the ability to translate complex technical requirements into clear delivery plans.¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy mismo.What You'll DoProduct Strategy & OwnershipOwn and evolve the data services roadmapDefine a vision for scalable, reusable data capabilitiesEstablish clear prioritization frameworksBalance new feature development with operational excellence Data Services & Platform EnablementManage intake and lifecycle of 300+ ingestion requests annuallyClarify requirements for orchestration, harmonization, and ETL/ELT workflowsDefine SLAs and service standardsStandardize and automate recurring processesImprove scalability and self-service capabilities Stakeholder & Cross-Functional CollaborationPartner with scientific and technical teams to gather requirementsTranslate complex needs (including genetics/omics where applicable) into actionable plansWork closely with Data Engineering on scope and feasibilityAlign with downstream product teamsCommunicate roadmap updates and trade-offs clearly Operational ExcellenceImplement structured intake and governance processesDefine xohynlm and track KPIs (throughput, turnaround time, reliability)Drive continuous improvement and maintain documentationRequirementsEssential4+ years in Product Management (data/platform/infrastructure preferred)Experience managing high-volume service or platform requestsStrong roadmap ownership and prioritization skillsSolid understanding of ETL/ELT, pipelines, orchestration, and harmonizationExperience with cloud-based data platformsExcellent communication and stakeholder management skillsPreferredExperience in genetics, omics, or life sciences dataFamiliarity with large-scale scientific datasetsExposure to data governance, metadata, or data quality frameworksExperience in regulated or research environments
