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Data Product Manager (Digital & Loyalty)

Poland, Warszawa Employment contract · Job Posted May 15, 2026
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Job Responsibility

  • Partner with the Group Product Manager to maintain the data product vision, roadmap and backlog with clear acceptance criteria and measurable outcomes.
  • Translate business questions into metric definitions, data models and scalable self-service data products.
  • Collaborate with App & Web Architects to ensure accurate tagging of key user events in mobile apps (e.g., GA4)
  • Coordinate with Data Engineering to integrate mobile apps and retail loyalty datasets for a unified end-to-end customer journey.
  • Monitor data pipelines, investigate quality issues and implement automated validation, alerting and remediation processes.
  • Operationalize data governance, privacy and security requirements
  • Maintain the data catalog and lineage documentation to support discovery
  • Define and enforce data contracts, SLAs and schema-change processes with source teams.
  • Liaise with Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting.
  • Conduct stakeholder interviews to confirm data readiness for key insights and dashboards.
  • Partner with product managers to validate data availability and quality for priority business questions.
  • Identify opportunities to enrich datasets using internal systems and reputable external sources.
  • Track competitive benchmarks for mobile app performance and surface insights that inform product innovation.
  • Drive data-product adoption: create enablement guides, run demos, maintain FAQs, collect feedback and support change communications.

Requirements

  • Advanced degree in Engineering, Data Science, Statistics, or a related analytical field.
  • 7+ years of experience across one or more areas: data engineering, data analytics, or data stewardship.
  • 3+ years of experience working with mobile and web analytics platforms (e.g., Google Analytics, BigQuery)
  • experience with loyalty program data is a strong plus.
  • Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.
  • Solid understanding of data governance frameworks and data privacy regulations, including GDPR.

Nice to have

experience with loyalty program data

What we offer

  • Annual bonus
  • Private medical care
  • Cafeteria Platform/Multisport
  • English lessons subsidized by the company
  • Group insurance
  • Attractive discounts for products and services at our stations
  • Employee stock purchase plan
  • Employee Assistance Program (Lyra)
  • Modern and convenient office
  • Trainings & possibility to develop skills in a wide international environment

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