Product Owner

Key Responsibilities

• Requirements Gathering: Collaborate with stakeholders to understand their data needs along with their platform architecture and translate them into actionable requirements.
• Analysis: Analyze data landscape, platform and workflows to identify areas for improvement in data handling and reporting.
• Definition of Ready: Ensure that requirements are clearly defined and ready for the development team to initiate the project.
• Prioritization: Work with stakeholders to prioritize tasks and features based on business value and impact.
• Documentation: Maintain comprehensive documentation of product requirements, processes, and changes for transparency and alignment.
• Collaboration: Engage with technical teams on a daily basis to define the what, ensure effective delivery, providing guidance and support throughout the sprint lifecycle.
• Acceptance Criteria: Develop clear acceptance criteria to ensure that deliverables meet the specified requirements. Review the pipelines or frameworks delivered before closing the scope of the user stories. 
• Quality Management: Monitor and manage the quality of delivered data solutions, ensuring they align with business objectives.

Qualifications

• Proven experience as a Data Engineer/ Data Platform Product Owner/ Data Platform Technical analyst, preferably in data engineering or data analytics projects.
• Strong analytical skills with an ability to interpret complex data sets.
• Excellent communication and interpersonal skills to effectively collaborate with technical teams and stakeholders.
• Proficient with data warehousing concepts and technologies, particularly Snowflake, is a plus.
• Proficient in documentation and requirements management tools.