Data Product Manager (m/f/n)

Warszawa , Poland
full-time Remote

AI overview

Lead the development and evolution of innovative products in the Data & AI domain, ensuring they deliver tangible business outcomes through collaborative cross-functional teamwork.

Your mission: 

  • Lead the development and evolution of products in the Data & AI domain – from analytics platforms to AI-powered tools – ensuring they meet business needs and deliver tangible outcomes. 
  • Manage product roadmaps and backlogs, ensuring smooth planning and on-time delivery through close collaboration with engineering, data science, and business stakeholders. 
  • Identify opportunities where data or AI can bring measurable business value, define hypotheses, and coordinate experiments or Proofs of Concept to validate them. 
  • Develop and implement effective Go-To-Market strategies for our products. 
  • Continuously improve product quality and efficiency by leveraging user feedback, data analytics, and usage insights. 
  • Drive the adoption and integration of data and AI solutions across the organization. 

What you’ll bring: 

  • 3+ years of experience as a Product Manager in a leading technology, consulting, or e-commerce company – combining strong technical understanding with strategic thinking. 
  • Solid foundation in data analytics, engineering, or AI/ML, enabling you to bridge technical aspects with business goals. 
  • Understanding of cloud technologies, big data environments, and/or AI platforms
  • Experience managing autonomous, cross-functional teams using tools and methodologies such as JIRA, Confluence, Scrum, LeSS, and Data Mesh. 
  • Outstanding communication, stakeholder management, and problem-solving skills. 
  • Fluency in English (both written and spoken). 

Nice to have: 

  • Hands-on experience with data governance, data modeling, or machine learning technologies
  • Familiarity with medallion architecture, star schema, or data lakehouse concepts
  • Knowledge of Data Mesh principles or AI lifecycle management
  • International work experience or exposure to global teams.

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