Technical Product Owner (Data & Analytics)

Role Overview

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. This role blends analytical thinking, stakeholder engagement, and hands-on collaboration within a data and analytics-focused development team and client.

Anticipated start date: On or after January 2026.

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 Client Account Team (CAT).

• Provide analytical insights into client pain points and support identification of improvement or growth opportunities.

Key Competencies - Senior Consultant

• Delivery: Owns delivery of specific workstreams; ensures outputs meet client and project goals.

• Problem Solving: Addresses complex technical challenges; introduces improvements.

• Client Engagement: Manages day-to-day client relationships; translates technical details into business value.

• Business Acumen: Connects technical work to business outcomes.

• Teamwork & Collaboration: Collaborates across functi