Product Owner

NielsenIQ

6h

About The Position

The Product Owner is responsible for managing the organization’s tooling ecosystem as a product. This includes owning the end-to-end lifecycle of platforms—from capability definition and onboarding to governance, versioning, deprecation, and cost management. The Product Owner defines how the tooling enables teams to build, run, monitor, and maintain data pipelines at scale. Acting as the Product Owner for the internal data engineering platform, this role ensures that the toolchain is: Standardized across the organization Self-service and user-friendly Observable and measurable Aligned with the enterprise data strategy The Platform Product Owner works cross-functionally, bridging: Data Architecture, Data Engineering, BI Development, Cloud Operations, and Data Governance.

Requirements

• Azure Cloud Experience — Strong advantage; experience with cloud-native data platforms.
• Python & Data Expertise — Hands-on experience with data processing, Databricks, and large-scale datasets.
• Data Structures & Algorithms — Solid foundational understanding.
• System Analysis — Ability to assess platform behavior, identify bottlenecks, and propose scalable solutions.
• Communication Skills — Clear, structured communication with both technical and non-technical stakeholders.
• Learning Agility — Quick to adopt new tools and technologies.
• Education — Degree in Computer Science, IT, or related field preferred.
• Ingestion Platform Experience — 2 years of experience is an advantage for internal candidates.

Responsibilities

• Manage and prioritize the ETL/ingestion platform backlog; define epics and user stories for enhancements, tooling upgrades, and CI/CD integrations.
• Analyze platform performance, identify gaps, and drive improvements across ingestion, transformation, and monitoring capabilities.
• Communicate roadmap, releases, and changes clearly to engineering, architecture, BI, and cloud teams.
• Work with large datasets using SQL and Python; support ingestion engine processing and data quality improvements.
• Lead small to large transformation initiatives and ensure acceptance criteria for platform deliverables are well-defined and testable.

Benefits

• Annual Incentive Plan
• Stable International Environment
• Professional Development
• Learning & Support
• Comprehensive Benefits
• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level