The Opportunity The Data Product Owner is responsible for defining and managing the Data Product vision, strategy, and end-to-end delivery, collaborating with relevant IT and Business stakeholders to ensure alignment to business strategic objectives.
They are responsible for translating strategic and operational business objectives into technical Data Product solutions, having in-depth knowledge of business processes that underpin the Technology Value Stream.
They lead the Data Product team to design and develop new Data Products, enabling the Business to successfully embed these Products into business processes.
They remain abreast of emerging technologies relevant to their Technology Value Stream, driving innovation and optimisation in solution creation.
Job Responsibilities Defines the Customer and Consumer Data Product vision and strategy, aligned with wider Business goals and priorities.
Collaborate with key Business stakeholders across the organization to identify key challenges and opportunities where data can provide solutions and then translating these business needs into technical requirements, understanding which data capabilities are required for the requested Data Product creation (e.g., BI vs data modelling vs data science vs AI).
Works with the Head of Customer and Consumer Value Stream and Head of Data, AI collaborates with other Data Product Owners to prioritise cross-functional data insight requests, ensuring requests are managed in a standardised manner; prioritises smaller, ad-hoc business requests (e.g., one-off data insight) in the Data Product backlog, ensuring that team resource times are adequately accounted for.
Manages the Customer and Consumer Data Product team to deliver the Customer and Consumer Data Product roadmap, delivering valuable, robust, and secure data solutions for the Business; accountable for overall Data Product performance (e.g., delivery velocity, escalated issue resolution, Data Product roadmap realisation).
Collaborates with the Data Governance team, relevant technical architects (BI or AI), data platforms owners and Information Security, Risk