Senior Product Manager - Data Engineering
hace 7 días
Badajoz
About Xebia With 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 Position Overview Role: Senior Product Manager – Data Engineering Experience: 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. What You’ll Do Product Strategy & Ownership Own and evolve the data services roadmap Define a vision for scalable, reusable data capabilities Establish clear prioritization frameworks Balance new feature development with operational excellence Data Services & Platform Enablement Manage intake and lifecycle of 300+ ingestion requests annually Clarify requirements for orchestration, harmonization, and ETL/ELT workflows Define SLAs and service standards Standardize and automate recurring processes Improve scalability and self-service capabilities Stakeholder & Cross-Functional Collaboration Partner with scientific and technical teams to gather requirements Translate complex needs (including genetics/omics where applicable) into actionable plans Work closely with Data Engineering on scope and feasibility Align with downstream product teams Communicate roadmap updates and trade-offs clearly Operational Excellence Implement structured intake and governance processes Define and track KPIs (throughput, turnaround time, reliability) Drive continuous improvement and maintain documentation Requirements Essential 4+ years in Product Management (data/platform/infrastructure preferred) Experience managing high-volume service or platform requests Strong roadmap ownership and prioritization skills Solid understanding of ETL/ELT, pipelines, orchestration, and harmonization Experience with cloud-based data platforms Excellent communication and stakeholder management skills Preferred Experience in genetics, omics, or life sciences data Familiarity with large-scale scientific datasets Exposure to data governance, metadata, or data quality frameworks Experience in regulated or research environments
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