9 days ago
Full TimeMid Level
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Skills Gap Analyzer
Compare your skills with the requirements for Product Owner and see what you need to learn
About the company
2P Perfect Presentation
IT Services and IT Consulting
About the Role
Job Summary:
The Product Owner (PO) is a key role in Agile development, acting as the bridge between business stakeholders and the development team. The PO is responsible for defining product vision, prioritizing the backlog, and ensuring the team delivers maximum business value. This role requires strong collaboration, strategic thinking, and a deep understanding of customer needs.
Responsibilities:
• Define and communicate the product vision, goals, and roadmap.
• Collaborate with stakeholders to plan releases and ensure go-to readiness.
• Align stakeholders (business, customers, development teams) on priorities.
• Create, refine, and prioritize the product backlog.
• Write clear user stories, acceptance criteria, and business requirements.
• Gather feedback from customers, sales, marketing, and leadership.
• Balance competing interests to ensure the product meets business and user needs.
• Collaborate with the Scrum Master and development team to clarify and refine requirements.
• Participate in Scrum ceremonies (Sprint Planning, Daily Stand-Up, Reviews, andRetrospectives).
• Validate product assumptions using data insights and user testing.
Requirements
Qualifications & Skills:
Education:
• Bachelor’s degree in Business, Computer Science, or related field.
• Certification: Certified Scrum Product Owner (CSPO) or SAFe PO/PM preferred.
Experience:
• 3+ years as a Product Owner or similar role in Agile environments.
• Proven track record of delivering successful digital products.
Soft Skills:
• Strong leadership, negotiation, and decision-making skills.
• Excellent communication (technical and non-technical audiences).
Technical Skills (Preferred):
• Familiarity with tools like Azure DevOps or Jira.
• Basic understanding of software development.
Nice to Have:
• Knowledge of UX/UI principles and data-driven decision-making.