IT Product Owner/ IT Product Manager

Responsibilities:

• Collaborate with various stakeholders to gather context, define product features, and prioritize them
• Create and maintain a clear and detailed Product Backlog for the development team using tools such as Jira or Confluence
• Utilize insights from Data Analysis to aid in decision-making and product improvements
• Work closely with the UX/UI design team to conduct user research, usability testing, and enhance user experience
• Closely collaborate with the development team to ensure the delivery of high-quality products on time
• Monitor key product metrics and adjust plans as necessary to achieve set goals
• Manage communication and expectations of stakeholders throughout the product development lifecycle using appropriate tools
• Present data-driven insights to executives and relevant parties to inform strategic decision-making
• Facilitate user testing sessions and gather feedback to continuously improve the product

Qualifications

• At least 3-5 years of experience as a Product Owner, Business Analyst, or similar roles related to software product development, particularly in the retail industry
• Experience working with Commercial systems is a plus
• Solid understanding of Agile and Scrum methodologies
• Experience using Agile collaboration tools such as Jira, Confluence, Trello, or Asana
• Familiarity with using Backlog or Ticket Management Tools to manage tasks and track progress
• Excellent communication and presentation skills, able to smoothly coordinate with various teams
• Analytical thinking, able to identify customer needs and translate them into User Stories
• Knowledge and skills in Data Analysis and using related tools
• Experience in conducting user research and user testing, and collaborating with UX/UI teams
• Basic technical knowledge related to software development, such as databases and APIs
• Strategic perspective and understanding of the retail business, able to align product direction with organizational goals
• Hands-on experience with SQL for advanced analysis, collaborating with analytics teams to evaluate feature performance, customer behavior, and business impact

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