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Product Owner

NIQ Global Intelligence - Remote | Warsaw, 30, Poland

Posted Jun 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$102,662 U.S. median for this role
Projected growth (BLS Employment Projections)
+5.4% - Faster than average

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Product From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Owner Remote | Warsaw, 30, Poland Company Description: Job Description: 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 Data Governance Key Responsibilities Platform Ownership - Manage and prioritize the ETL/ingestion platform backlog; define epics and user stories for enhancements, tooling upgrades, and CI/CD integrations. System Analysis - Analyse platform performance, identify gaps, and drive improvements across ingestion, transformation, and monitoring capabilities. Cross‑Team Collaboration - Communicate roadmap, releases, and changes clearly to engineering, architecture, BI, and cloud teams. Data Processing - Work with large datasets using SQL and Python; support ingestion engine processing and data quality improvements. Project Delivery - Lead small to large transformation initiatives and ensure acceptance criteria for platform deliverables are well‑defined and testable. Qualifications & Skills 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

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