Data Product Owner

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ZigZag Global

πŸ“Remote - Portugal

Job highlights

Summary

Join ZigZag Global as a Data Product Owner and champion our data products, translating business needs into actionable data strategies. You will oversee the development and implementation of these strategies, bridging the gap between stakeholders, data scientists, and engineers. This remote role, based in Portugal, requires a Bachelor's degree or equivalent experience in a relevant field and extensive experience in product management or data analysis. You will partner with stakeholders, develop product roadmaps, prioritize backlogs, and ensure data quality. Excellent communication and collaboration skills are essential. ZigZag offers competitive benefits, including healthcare, paid time off, and professional development opportunities.

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

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

Preferred Qualifications

  • Proficiency in data visualization tools is a plus
  • Experience with data warehousing, data lakes, or other data management technologies (a plus)

Benefits

  • Competitive salary
  • 22 days annual leave + Bank Holidays + Additional day holiday after every full year of service (up to 5 additional days) plus a bonus day off for your birthday
  • Additional healthcare insurance with dental service
  • Food Vouchers - Sodexo vouchers
  • Summer working hours
  • Collaborative working environment
  • Annual L&D Budget
  • Employee referral bonus scheme
  • Office Equipment Budget

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