Data Product Manager

It’s fun to work in a company where people truly BELIEVE in what they’re doing!

The Data Product Manager is responsible for owning, shaping, and delivering data products that create measurable business value for the retail organisation. This role serves as the primary bridge between business stakeholders and data, analytics, and data science teams – translating commercial priorities, operational challenges, and strategic questions into well-defined data and analytical solutions. The Data Product Manager ensures that data initiatives are grounded in genuine business need, clearly scoped, and delivered in a way that drives adoption and tangible outcomes, while maintaining fast delivery, high standards of data quality, usability, and governance.

• Bachelor’s degree in Information Systems, Business, Analytics, Commerce, or a related field (or equivalent practical experience).
• Project Management certification or equivalent (Agile certification preferred).

• 5+ years’ experience in a data, analytics, business intelligence, or technology environment.
• Proven track record in a role that required translating business needs into data or analytical outputs – e.g. Business Analyst, Data Product Owner, Analytics Lead, or similar.
• Experience working directly with senior business stakeholders and managing competing priorities across multiple domains.
• Demonstrated experience delivering complex, cross-functional initiatives in a large organisation.
• Retail industry experience strongly advantageous.

• Familiarity with data warehousing, BI, and analytics platform concepts.
• Exposure to data science and advanced analytics solution types (e.g. segmentation, forecasting, recommendation).
• Exposure to cloud data platforms and modern analytics stacks.
• Understanding of data governance, privacy, and security principles.
• Familiarity with Agile delivery tools and ways of working.

• Data Product Management: Ability to define product vision, prioritise roadmaps and backlogs, and ensure data products deliver measurable business value.
• Business & Data Acumen: Strong understanding of business processes and the ability to translate complex business challenges into practical data and analytical solutions.
• Stakeholder Engagement & Influence: Builds trusted relationships with business and executive stakeholders, manages competing priorities and influences decisions across multiple domains.
• Requirements Analysis & Translation: Ability to facilitate discovery, clarify ambiguous requirements and translate business needs into clear briefs for data, analytics and technology teams.
• Strategic & Commercial Thinking: Connects data initiatives to strategic objectives, commercial priorities and measurable business outcomes.
• Delivery & Project Management: Strong ability to coordinate complex, cross-functional initiatives, manage scope, timelines, dependencies and risks, and drive delivery to completion.
• Prioritisation & Decision-Making: Makes pragmatic, value-driven decisions when balancing business demand, capacity, dependencies, risk and competing priorities.
• Data Governance & Quality: Understands and promotes data governance, privacy, security, data quality and consistent data definitions.
• Communication & Facilitation: Communicates complex concepts clearly to technical and non-technical audiences and facilitates productive decision-making and discovery sessions.
• Value Realisation & Continuous Improvement: Measures adoption, usage and business impact and uses stakeholder feedback and data to continuously improve data products and outcomes.
• Collaboration & Leadership: Works effectively across data engineering, analytics, data science, architecture and business teams,…