Senior Product Manager - Data Engineering

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. 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.

Own and evolve the data services roadmap Define a vision for scalable, reusable data capabilities Balance new feature development with operational excellence Data Services & Platform Enablement Clarify requirements for orchestration, harmonization, and ETL/ELT workflows Work closely with Data Engineering on scope and feasibility 4+ years in Product Management (data/platform/infrastructure preferred) ~ Solid understanding of ETL/ELT, pipelines, orchestration, and harmonization ~ Experience with cloud-based data platforms ~ Experience in genetics, omics, or life sciences data Exposure to data governance, metadata, or data quality frameworks