Senior Data Product Owner

Rysun Labs Inc is hiring a Senior Data Product Owner to help translate retail business needs into clear, actionable data product requirements. This hybrid role in Milpitas, CA centers on shaping roadmaps and backlogs, partnering across data engineering and analytics, and ensuring delivered solutions support measurable business outcomes.

In this position, you will lead discovery and requirement activities, convert stakeholder goals into user stories and specifications, and align data governance, quality, and lineage needs with delivery. You will also monitor adoption, data quality, and KPI impact to guide ongoing improvement of analytics and reporting capabilities.

What you’ll do

• Own and manage the roadmap, backlog, and prioritization for data products and analytics initiatives.
• Partner with retail business stakeholders to understand data requirements, business challenges, and reporting needs.
• Translate requirements into user stories, functional specifications, acceptance criteria, and product requirement documents.
• Collaborate with Data Engineering, Data Science, BI, and Analytics teams to deliver pipelines, data models, dashboards, and reporting solutions.
• Run requirement-gathering sessions including stakeholder interviews, workshops, and gap analyses.
• Define data quality rules, business definitions, data lineage, and data governance requirements.
• Support data mapping, source-to-target mapping, data validation, reconciliation, and user acceptance testing (UAT).
• Manage Agile ceremonies including backlog refinement, sprint planning, and release coordination.
• Track product KPIs, adoption, data quality, and business outcomes to identify opportunities to improve.
• Coordinate dependencies, risks, issues, and delivery timelines across business and technical teams.
• Ensure data products align with business goals, security requirements, and governance standards.

Key qualifications

• Bachelor’s degree in computer science, Information Systems, Business, Data Analytics, or a related field.
• 5+ years of experience in Data Product Ownership, Data Product Management, Data Business Analysis, or a closely related role.
• Mandatory retail industry experience, preferably in areas such as retail analytics, e-commerce, merchandising, inventory, supply chain, sales, or customer data.
• Strong understanding of data warehousing, ETL/ELT pipelines, data models, and analytics platforms.
• Experience with SQL for data analysis, validation, and troubleshooting.
• Experience writing user stories, acceptance criteria, functional requirements, and data mapping documents.
• Hands-on experience with backlog management, Agile/Scrum, and tools such as Jira and Confluence.
• Experience coordinating UAT, data validation, and stakeholder sign-off.
• Strong communication skills and the ability to translate technical concepts into business requirements.

Technologies you may work with

• SQL, Jira, Confluence
• Snowflake, Databricks, SQL Server, AWS, Azure
• Power BI, Tableau
• Python, Spark, dbt, Azure Data Factory

Salary and benefits

Salary range: USD 110,000 - 120,000 per year.

• Dental insurance
• Health insurance
• Paid time off
• Training & development
• Vision insurance

Preferred qualifications

• Experience with Snowflake, Databricks, SQL Server, or cloud data platforms such as AWS or Azure.
• Familiarity with Power BI, Tableau, or other BI and reporting tools.
• Understanding of data governance, metadata management, data quality, and master data management.
• Experience with retail data domains such as POS, customer loyalty, product catalog, pricing, promotions, inventory, and omnichannel commerce.
• Experience working with data engineering teams using Python, Spark, dbt, or Azure Data Factory.