The purpose of this role is to assist the Data Product Manager in delivering high-quality, user-centric data products
that meet the needs of Infrastructure Delivery teams. These products will improve access to trusted, timely, and
actionable data—enabling better decision-making, enhanced project performance, and alignment with National
Grid’s strategic objectives. You will work across multidisciplinary
Responsibilities
• Support the Data Product Manager in managing the lifecycle of data products, including discovery, definition,
delivery, and iteration.
• Collaborate with stakeholders across Infrastructure Delivery, Data, and Engineering teams to gather
requirements and understand user needs.
• Assist in writing user stories, maintaining product backlogs, and prioritising 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.
Qualifications
Required Qualifications and Experience
• Degree or equivalent experience in a relevant field (e.g. Business, Engineering, Data Science, Computer
Science, Junior Data Product Manger 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.
Desired Skills and Attributes
• Passion for data products and their role in transforming driving value.
• Curiosity and a proactive approach to problem-solving.
• A good understanding of product management principles and data lifecycle concepts.
• Awareness of the challenges and opportunities in large-scale capital delivery or infrastructure projects.
• Experience with data visualisation tools (e.g. Power BI) or data analysis techniques is a plus.
• Understanding of data governance, data quality, or metadata management is advantageous.
