Product Owner

What You'll Do:

• Own and prioritize the data engineering product backlog and roadmap.
• Translate business requirements into user stories, data rules, and acceptance criteria.
• Perform SQL-based data analysis, validation, and data quality assessments.
• Collaborate with Data Engineers on Databricks, PySpark, data pipelines, and data products.
• Facilitate stakeholder discussions, sprint planning, UAT, and release activities.
• Drive data governance, quality, and adoption across business functions.

Expertise You'll Bring:

• Strong SQL skills with experience in data analysis, reconciliation, and data quality validation.
• Solid understanding of ETL/ELT, data pipelines, data warehousing, and data modeling concepts.
• Experience working as a Product Owner in Agile environments, managing backlogs and requirements.
• Familiarity with Databricks and PySpark, with the ability to work closely with data engineering teams.
• Excellent stakeholder management and communication skills across technical and business teams.
• Knowledge of Supply Chain, ERP, Master Data Management, and data governance practices is highly preferred.