Back to jobsDefines 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 & Analytics to align Customer and Consumer Data Product resources with the prioritised programme of work.
Collaborates with Data Platform teams, Solution Architects, and other relevant IT stakeholders to scope technical requirements for business solutions.
Prioritises Customer and Consumer Data Product solutions against the backlog, accounting for business priorities and foundational enablement required; 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 & Compliance teams to ensure Data Products are created, managed, and consumed in a standardised, secure, and compliant manner.
Acts as an escalation point for data solutions relevant to Customer and Consumer Value Stream to remediate product quality / performance issues.
Develops a continuous improvement culture within the Customer and Consumer Data Product team, encouraging the team to make meaningful improvements to overall Data Product performance.
Conducts horizon scanning to identify opportunities for emerging technologies to improve existing processes and enhance Customer and Consumer Data Product capabilities. Collaborate with solution architects, data platform owners and Data, AI and Analytics director to consider emerging technologies in the wider data ecosystem.
Encourages the adoption of automation, self-service analytics, and AI-driven insights within the Data Product ecosystem.