Global Data Product Lead - Loyalty & Engagement (Remote)

Sii Poland

Wrocław

Remote

PLN 180,000 - 280,000

Full time

4 days ago
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Benefits offered by this job

Great Place to Work
Profit sharing
Centre of internal trainings
Many experts you can learn from
Open and accessible management team

Job summary

Sii Poland is seeking a Data Product Manager to lead data strategy for a global digital retail experience. The role is remote with quarterly Warsaw office visits, focusing on customer engagement via data-driven insights.

You will collaborate with stakeholders across time zones and drive data governance and analytics adoption. Ideal candidates have a strong background in data engineering/analytics, hands-on SQL, Power BI, and experience in data warehouses like Snowflake.

Qualifications

  • Minimum 5 years in data engineering, data analytics or data architecture.
  • Experience leading data products and teams.
  • Excellent written and verbal English communication.

Responsibilities

  • Lead and develop a high-performing team of Data Product Specialists.
  • Partner with Group Product Manager to define data products enhancing engagement and loyalty.
  • Translate business needs into scalable data solutions with metrics and self-service analytics.
  • Collaborate with tech partners to manage external data feeds and governance.
  • Work with Data Engineering to onboard data and ensure data quality.

Skills

Leadership
Product ownership
Team management
English communication

Education

Advanced degree in Engineering/Data Science/Analytics

Tools

Power BI
SQL
Snowflake

Job description

Sii Poland is seeking a Data Product Manager to lead data strategy for a global digital retail experience. The role is remote with quarterly Warsaw office visits, focusing on customer engagement via data-driven insights.

You will collaborate with stakeholders across time zones and drive data governance and analytics adoption. Ideal candidates have a strong background in data engineering/analytics, hands-on SQL, Power BI, and experience in data warehouses like Snowflake.

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