Data Product Owner

What You’ll Do

• Collaborate with Engineering, Governance, Data, and Product leadership to execute the vision and roadmap for Kestra's enterprise data platform, including reporting, analytics, and data product capabilities.
• Develop a deep understanding of Kestra's data strategy, source systems, and end-to-end data workflows to inform backlog prioritization and delivery.
• Translate business and analytical needs into clear, actionable backlog items for scrum teams, focusing on data ingestion, data model enhancements, platform modernization, and data product development.
• Break down large-scale data initiatives - such as adding new data sources or building shared data assets - into manageable user stories and work with technical leads to ensure readiness for implementation.
• Prioritize features, enhancements, and enablers in the data product backlog based on business value, technical dependencies, and PI commitments.
• Facilitate backlog refinement sessions and maintain a well-groomed, continuously evolving backlog that reflects current priorities and team capacity.
• Participate in design and architecture discussions to ensure solutions meet analytical needs, support reusability, and align with data governance and quality standards.
• Act as the primary liaison between business users, data analysts, data engineers, and developers to ensure consistent understanding and delivery of business needs.
• Coordinate dependencies and share learnings across the Product Owners and teams to support enterprise alignment across the data ecosystem.
• Collaborate with the release manager and QA to support production deployments and communicate release notes to business stakeholders.

What You Bring

• Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or related field; equivalent work experience will be considered.
• 3+ years of experience as a Product Owner or Business Analyst supporting data platforms, enterprise reporting, or analytics solutions in an Agile environment.
• Hands-on experience with cloud-based data platforms, ideally within the Microsoft Azure ecosystem (e.g., Azure Data Factory, Azure Synapse, Data Lake) and Databricks.
• Strong familiarity with data warehousing concepts, data ingestion processes, and data product lifecycle management.
• Proficient in using product and collaboration tools such as JIRA and Confluence for backlog management and team communication.

Internal Application Policy

Internal applicants must be in good standing and have a minimum of 1 year of service with Kestra. Internal applicants must also have a minimum of 1 year service in current role unless approved by EVP.

Benefits to Support You

• Competitive pay and benefits with a large employer (over 1600 employees nationwide)
• 401(k), health insurance, and a competitive benefits package
• Opportunities for training, development, and long-term growth within the firm
• Tuition reimbursement for qualified expenses

Kestra Values

• Serve
• Make it Happen
• One team