Product Owner - Enterprise Data - The Standard

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Job Summary

The Product Owner – Enterprise Data is a member of the Agile Team within Enterprise Data & Analytics. In this role, you will play a pivotal part in translating business needs into data-driven solutions that empower teams enterprise-wide. Bring your robust understanding of data best practices, to ensure that data products are accurate, secure, and scalable, while integrating well with downstream systems.

The Product Owner is responsible for defining and prioritizing backlog items to streamline the execution of program priorities while maintaining the conceptual and technical integrity of the features for the team. This position will play a significant role in incremental value delivery and collaborates with the team to ensure that the story meets the definition of done.

This role is accountable for executing product strategy and vision by aligning business goals with customer needs and advocating for the end user. They balance strategic thinking with hands-on execution, and use data & feedback to continuously improve the product and ensure project success. Operating in an Agile environment is key to delivering high-value, high-quality solutions on time.

80% Execution & Delivery

• Collaborates with Data Product Manager on feature creation and Program Backlog prioritization. Drives the decomposition of features into story maps and incremental value delivery. Responsible for the preparation and participation in PI Planning. Executes against the product roadmap and PI Priorities.
• Accountable for the health and readiness of the team backlog, including new features, defects and technical debt. Collaborates with analysts & engineers to define and prioritize in the backlog. Manages and prioritizes the flow of work to ensure consistency of incremental value delivery.
• Develops detailed user stories containing thorough and testable acceptance criteria, along with non-functional requirements. Validates story and feature completion and ensures adequate testing before release.
• Owns risks to delivery, coordinating with internal and external teams to mitigate any risks.
• Integrates user feedback and usability studies/research, to enhance user satisfaction.
• Collaborates with Data Product Manager to analyze metrics and analytics to make data-info