Key responsibilities
- Support the Data Product Manager in managing the lifecycle of data products, including discovery, definition, delivery, and iteration.
- Collaborate with stakeholders across Data and Engineering teams to gather requirements and understand user needs.
- Assist in writing user stories, maintaining product backlogs, and prioritizing features based on business value and user impact.
- Participate in Agile ceremonies such as sprint planning, stand-ups, and retrospectives.
- Conduct user research and data analysis to inform product decisions and measure outcomes.
- Help coordinate testing, feedback loops, and continuous improvement activities.
- Contribute to product documentation, training materials, and stakeholder communications.
- Promote data-driven decision-making and support the adoption of data products across the business.
- Identify what data is required to support better operational and planning decisions.
- Work with data analysts and engineering SMEs to validate data quality, source systems, assumptions, and business rules.
- Have a very good understanding of the data attributes and data products catalogue to support various team.
Required qualifications and experience
- Degree or equivalent experience in a relevant field (e.g., Business, Engineering, Data Science, Computer Science, Junior Data Product Manager, or related discipline).
- Demonstrable experience (e.g., early career role, internship, or placement) in a data, product, or business analysis environment.
- Familiarity with Agile methodologies and tools such as Jira, Confluence.
- Strong communication and interpersonal skills, with the ability to work effectively across multidisciplinary teams.
- Analytical mindset with a strong interest in data, systems, and user-centric design.
