Senior Data Product Owner

Benefits:

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

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises, globally. Rysun guides and accelerates the Data & AI strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable

customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce to outperform competition and lead the change in their industry.

Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across India, USA, South Africa (a proud Level 2 B-BBEE Contributor), and UK.

We are looking for an experienced Senior Data Product Owner with strong data domain knowledge, product ownership, and business analysis experience. The ideal candidate will translate business needs into data product requirements, manage backlogs and roadmaps, collaborate with data engineering and analytics teams, and deliver scalable data solutions that support retail business objectives.

Job Title: Senior Data Product Owner

Location: Milpitas CA

Experience: 5+ years

Key Responsibilities

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

• Work closely 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 (UAT).

• 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.

Required 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 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.

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 tools such as Python, Spark, dbt, or Azure Data Factory.

Ideal Candidate Profile

• Data expertise: Understands data pipelines, data models, SQL, and analytics.

• Product ownership: Manages roadmaps, backlogs, priorities, and delivery.

• Business analysis: Ga…