Product Owner

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Responsibilities
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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 communicationand interpersonal skills to effectively collaborate with technical teams and stakeholders.
Proficient with data warehousing concepts and technologies, particularly Snowflake, is a plus. xcfaprz
Proficient in documentation and requirements management tools.

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