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Data Product Owner

Posted 13 days agoViewed

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💎 Seniority level: Senior, Extensive experience in product management, data analysis, or a related field.

📍 Location: Portugal

🔍 Industry: ECommerce returns

🏢 Company: ZigZag Global👥 101-250💰 $19,000,000 Series A about 5 years agoE-CommerceRetailSaaSB2BSoftware

🗣️ Languages: English

⏳ Experience: Extensive experience in product management, data analysis, or a related field.

🪄 Skills: AgileData AnalysisProduct ManagementData visualizationData management

Requirements:
  • Bachelor's degree in a relevant field (business, data science, computer science) or equivalent experience.
  • Extensive experience in product management, data analysis, or a related field.
  • Strong understanding of the data lifecycle and data governance principles.
  • Experience working with Agile methodologies.
  • Excellent communication and collaboration skills.
  • Ability to translate complex technical concepts into clear, actionable insights for non-technical audiences.
  • Proven ability to prioritize tasks and manage projects effectively.
  • Proficiency in data visualization tools is a plus.
  • Experience with data warehousing, data lakes, or other data management technologies (a plus).
Responsibilities:
  • Partner with business stakeholders to identify key challenges and opportunities where data can provide solutions.
  • Develop a clear vision and roadmap for data products, aligned with overall business objectives.
  • Translate business needs into user stories and product requirements for the data science and engineering teams.
  • Prioritize the product backlog and manage the development lifecycle of data products.
  • Work closely with data scientists and engineers to ensure the technical feasibility of product ideas.
  • Champion data quality and ensure data products adhere to data governance standards.
  • Define key performance indicators (KPIs) to track the success of data products.
  • Analyze usage data and user feedback to identify areas for improvement and iterate on data products.
  • Communicate effectively with stakeholders at all levels, keeping them informed of progress and driving adoption of data products.
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