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Rysun Labs

Senior Data Product Owner

Rysun Labs

. Own and manage the roadmap, backlog, and prioritization of data products and analytics initiatives.

Posted 10/13/2026full-timeMilpitas • California • United StatesSenior💰 $110,000 - $120,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Product Ownership and Management, with a strong focus on translating business requirements into actionable data solutions. Proficient in managing Agile processes and collaborating with cross-functional teams to ensure data products meet business goals and quality standards.

Highest-signal resume keywords
Data Product OwnershipAgile/Scrum ManagementSQL Data AnalysisData GovernanceRetail Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Product ManagementUser Story WritingData MappingData ValidationETL/ELT PipelinesData WarehousingData ModelingStakeholder InterviewsKPI TrackingGap Analysis
Soft Skills
Strong Communication SkillsStakeholder Coordination
Tools & Technologies
JiraConfluencePower BITableauSnowflakeDatabricksSQL ServerAWSAzureAzure Data Factory
Industry Keywords
Retail AnalyticsE-commerceSupply ChainCustomer DataInventory ManagementMerchandisingOmnichannel CommerceCustomer LoyaltyPricingPromotions

Tech Stack

Tools & technologies
AWSAzureETLPythonSparkSQLTableau

About the role

Key responsibilities & impact
  • Own and manage the roadmap, backlog, and prioritization of data products and analytics initiatives.
  • Work with business stakeholders to understand retail data requirements, business challenges, and reporting needs.
  • Translate business requirements into user stories, functional specifications, acceptance criteria, and product requirements documents.
  • Partner with Data Engineering, Data Science, BI, and Analytics teams to deliver data pipelines, data models, dashboards, and reporting solutions.
  • Conduct requirement-gathering sessions, 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.
  • Manage Agile ceremonies, backlog refinement, sprint planning, and release coordination.
  • Track product KPIs, adoption, data quality, and business outcomes to identify improvement opportunities.
  • Coordinate dependencies, risks, issues, and delivery timelines across business and technical teams.
  • Ensure data products align with business goals, security requirements, and governance standards.

Requirements

What you’ll need
  • 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 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, Jira, and Confluence.
  • Experience coordinating UAT, data validation, and stakeholder sign-off.
  • Strong communication skills and ability to translate technical concepts into business requirements.
  • Preferred: Experience with Snowflake, Databricks, SQL Server, AWS, Azure, Power BI, Tableau, data governance, metadata management, data quality, master data management, POS, customer loyalty, product catalog, pricing, promotions, inventory, omnichannel commerce, Python, Spark, dbt, or Azure Data Factory.

Benefits

Comp & perks
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance
  • Flexible work from home options