Wodify is hiring a

Data Product Owner

Lisboa, Portugal
Full-Time

As the Data Product Owner for Wodify, you will leverage data from across multiple platforms to deliver actionable intelligence to Wodify teams and customers.

 

A Day in the Life: 

  • Develop a vision and product backlog for Wodify’s data initiatives
  • Lead Sprint Planning meetings; explain feature/story priorities and requirements to the Agile team 
  • Define sprint / iteration objectives 
  • Prepare the product backlog for the upcoming 2-3 iterations/sprints 
  • Works with business stakeholders to prioritize the Product Backlog to maximize ROI 
  • Write well-defined User Stories/Use Cases and acceptance criteria


Knowledge, Skills & Abilities: 

  • 5-7 years of experience as a Scrum Master, Product Owner, and/or BA in an Agile development environment 
  • Proven experience in executing product roadmaps from conception through launch
  • Ability to gather user requirements, prioritize roadmaps and influence cross-functional teams
  • Strong background in software development and Agile methodologies
  • Familiarity with big data technologies and ecosystems
  • Passionate about using analytics to drive user behavior and increase customer value
  • Demonstrated ability to structure complex issues and develop solutions
  • Strong analytical and quantitative modeling skills, with demonstrated ability to succinctly interpret data and convert ideas into action.
  • Excellent communication (written/verbal) in Portuguese and English, presentation, and facilitation skills including experience with senior management

Education & Training: 

  • Bachelor’s Degree in Computer Science, Math, Statistics or related
  • Product Owner, Product Manager, and/or Scrum Master certification is a plus

The Application Process: 

  • Fill out the online application form here.
  • Fill out a career history form here.
  • We'll give you a call (30 minutes).
  • You'll come to our office for a skills assessment and aptitude test.
  • Finally, you'll meet the team during individual interviews.
  • If we think you're a fit, we'll make an offer.


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