Technical Product Owner (Data & Analytics)

The Technical Product Owner (Data & Analytics) acts as the key liaison between client stakeholders and delivery teams on data programmes/projects, ensuring that business requirements are clearly defined, prioritized, and delivered in alignment with Agile delivery principles.

Requirements

• Write detailed user stories and acceptance criteria by breaking down Epics for integration and reporting use cases.
• Lead feature / data product kickoffs to ensure business context and delivery alignment.
• Facilitate estimation sessions and story readiness to support sprint planning.
• Collaborate closely with developers and testers to validate “done” stories and ensure Client sign-off.
• Partner with technical leads, client SMEs to ensure requirements are accurate, complete, and technically feasible.
• Support the Client in managing and prioritizing the product backlog to ensure alignment with business goals.
• Conduct backlog refinement sessions with the team to clarify requirements, dependencies, and priorities.
• Ensure stories meet the team’s definition of ready before sprint planning.
• Track and communicate backlog health and sprint progress through Agile tools (e.g., Jira).
• Identify and escalate risks or blockers impacting backlog items or delivery flow.
• Maintain visibility of dependencies and ensure alignment between epics, features, and stories.
• Act as the liaison between client stakeholders and delivery teams, ensuring clear communication of needs and priorities.
• Support stakeholder alignment and facilitate sign-offs at key delivery stages.
• Work collaboratively with Account Managers, Program and Project Managers, Tech Leads, Developers and Testers to address client pain points and deliver outcomes.
• Support data product to data source mapping activities and maintain alignment with the data catalogue.
• Create and review target-to-source field mappings for individual data products.
• Understand and articulate data reconciliation, data quality (DQ), and transformation rules within the medallion architecture for individual data products.
• Facilitate Agile ceremonies, including daily stand-ups, backlog refinement, sprint planning, retrospectives, and show & tell sessions.
• Support story validation and sign-off activities during sprints.
• Maintain and communicate delivery roadmaps on Jira or similar tools.
• Contribute to continuous improvement discussions and team retrospectives to enhance delivery health.
• Track and report team health metrics through retrospectives and delivery KPIs.
• Produce end-of-sprint reports summarizing story progress, carried-over items, and upcoming priorities.
• Support automated reporting and ensure client transparency on progress and blockers.

Benefits

• Private health insurance
• Work-from-home budget
• Company MacBook