Senior Product Manager - Data Engineering
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 ****, 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.
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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
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