Data Product Owner

Role Overview

The Data Product Owner acts as the key liaison between client stakeholders and delivery teams on data programmes/projects, ensuring that business requirements are clearly defined, prioritised, and delivered in alignment with Agile delivery principles. This role blends analytical thinking, stakeholder engagement, and hands-on collaboration within a data and analytics-focused development team and client.

Key Responsibilities

Requirements Management

• 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.

Backlog Management

• 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.

Stakeholder Engagement

• 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.

Data Analysis

• 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.

Agile Process Support

• 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.

Reporting and Success Metrics

• 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.

Account Growth Support

• Collaborate with account and delivery leadership (PO, Program/Project Manager, Account Manager, Tech Lead) as part of the Account Leadership Team (CAT).
• Provide analytical insights into client pain points and support identification of improvement or growth opportunities.

Skills & Experience

• Proven experience as a Data Business Analyst in Agile delivery environments (Scrum or Kanban) for 10+ years.
• Skilled in user story writing, backlog management, and stakeholder facilitation.
• Strong problem-solving and analytical skills with the ability to connect business and technical contexts.
• Proficiency with Jira, Confluence, and Agile reporting tools.
• Excellent communication, influencing, and presentation skills.
• Strong experience in data and analytics projects, including data lineage, transformation, and quality.
• Travel requirements for this role are mandated by the need of the client and depending on the client some travel is required.
• Excellent knowledge of SQL.
• Exposure to BI/reporting and DWH integration use cases.
• Understanding of the medallion data architecture and / or modern data platforms (e.g., Databricks, Snowflake).
• Experience working in technology consultancy or data transformation programs.

Why join Infinite Lambda

• We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture.
• You work autonomously here in a wholesome environment and get as much paid holiday as you need.
• The projects are diverse and give you plenty of opportunity to experiment with new tech.
• The benefits are plenty, with private health insurance, work-from-home budget, a company MacBook and more on the list.