Technical Product Owner focused on data engineering initiatives in a growing company serving Fortune 500 clients. Collaborating with cross-functional teams to ensure seamless execution of projects.
Responsibilities
Own and manage the product backlog for data engineering projects. Translate product and technical requirements into user stories, prioritize and groom the product backlog, and align with development on priorities. Ensure backlog items are visible, clearly defined, and prioritized.
Help define and manage metadata, data lineage, and data quality. Collaborate with IT data owners and business leaders to ensure consistent and reliable data definitions.
Coordinate with on and offshore development teams, engineering, design, and business teams for seamless execution of data engineering initiatives.
Document processes and train business stakeholders on platform features. Communicate effectively across technical and non-technical stakeholders.
Requirements
3+ years in a Product Owner, Business Systems Analyst, or similar role in data engineering.
Experience with Snowflake, BigQuery, or similar platforms. Proficiency in Jira and Confluence; strong knowledge of Agile Scrum methodologies and experience working within an Agile framework.
Strong analytical skills with experience in collecting, analyzing, and interpreting data; comfort with A/B testing and KPIs.
Excellent verbal and written communication skills; experience translating complex requirements into clear, actionable items.
Proven ability to work effectively with cross-functional teams, including offshore development, engineering, UX, and business stakeholders.
Ability to troubleshoot issues, proactively improve processes, and ensure smooth platform operations
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