Senior Product Manager - Data Engineering

Xebia; España; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A global digital consulting firm is seeking a Senior Product Manager to lead their Data Engineering team in Spain. This role requires a candidate with 4+ years of experience in Product Management, particularly with data platforms. You will define and prioritize the data services roadmap and manage over 300 annual ingestion requests. Strong communication and stakeholder management skills are essential. The ideal candidate will possess in-depth knowledge of ETL/ELT workflows and cloud-based data platforms. Competitive package and opportunities for growth await.

Formación

• 4+ years in Product Management, ideally with a focus on data or platforms.
• Experience managing high-volume service requests.
• Strong skills in roadmap ownership and prioritization.

Responsabilidades

• Own and evolve the data services roadmap.
• Manage 300+ ingestion requests annually.
• Clarify requirements for orchestration and ETL/ELT workflows.

Conocimientos

Product Management

Stakeholder Management

Data Platforms

ETL/ELT Workflows

Roadmap Ownership

Descripción del empleo

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 www.xebia.com

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

• Own and evolve the data services roadmap
• 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

• 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