Data Product Owner

Role: Data Product Owner

Location: Atlanta, GA (Hybrid)

Duration: 12+ Months

Must have:

• We need strong profile which has both the SM and PO experience.
• 8+ years of experience in Project Management and Agile delivery
• 5+ years of hands-on experience as a Scrum Master with strong Agile/Scrum expertise.
• Strong experience using JIRA, Confluence, or similar Agile project management tools.

Job description:

We are seeking an experienced Data Product Owner Scrum Master to lead Agile delivery for enterprise data initiatives while owning product vision, backlog management, and stakeholder alignment. This hybrid role blends data domain product ownership with hands-on Scrum facilitation to ensure predictable delivery, high data quality, and measurable business outcomes. The role will collaborate closely with business stakeholders, data engineers, analytics teams, and platform owners to deliver scalable, value-driven data solutions.

Responsibilities:

• Own and manage the product backlog for data platforms covering Data Engineering, Analytics, BI, Cloud Data Warehouses, and reporting solutions. Translate business requirements into clear user stories for data ingestion, transformation, analytics, dashboards, and data products. Define product vision, roadmap, and release plans aligned with business priorities and enterprise data strategy. Prioritize backlog items based on business value, regulatory requirements, dependencies, and platform constraints. Partner with Data Architects and Technical Leads to evaluate solution options and feasibility.
• Facilitate Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives. Coach teams on Agile principles and promote continuous improvement. Remove delivery impediments related to data dependencies, environments, and integrations. Track Agile metrics such as velocity and release progress while driving consistent Agile execution across Data and Analytics teams.
• Act as the primary point of accountability between business stakeholders, product teams, and data delivery teams. Conduct requirement workshops and backlog grooming sessions. Provide transparent updates on delivery status, risks, and dependencies to leadership. Ensure alignment with enterprise governance, data quality, security, and compliance standards.
• Ensure data products meet enterprise standards for data quality, lineage, governance, and performance. Support UAT planning, execution, and business sign-off for data pipelines and analytics solutions. Coordinate across onshore and offshore teams including data engineering, QA, BI, and platform teams. Ensure production readiness, cutover planning, and post-go-live stabilization.

Requirements:

• 8+ years of overall IT experience with at least 5 years working as a Product Owner and/or Scrum Master in Agile environments.
• Strong exposure to Data and Analytics platforms including Data Engineering, ETL/ELT, Cloud Data Platforms (AWS/Azure/Google Cloud Platform), and Data Warehousing.
• Hands-on experience with Agile tools such as JIRA and Confluence.
• Strong stakeholder management, facilitation, and communication skills with the ability to manage complex dependencies typical of data programs.