Data Product Manager - Data

Position: Data Product Manager - Premium Data
The Role The Data Product Manager (Premium) is a key role within the Global Data Function, accountable for shaping and delivering the Premium data product as part of the Finance Transformation programme. Working closely with the wider product management team, business stakeholders, Technology delivery teams and Architecture, the role will define the product vision, scope and roadmap required to create a trusted, governed and reusable view of premium data.

The product will bring together data from multiple business areas and source systems at a consistent level of detail, establish common definitions and quality standards, and enable consistent reporting, analysis and downstream use. The role will lead discovery across the end-to-end data flow—from source systems and interfaces into the Unified Data Ecosystem through to transformation, conformance and consumption—and make clear, evidence-based decisions on priorities, dependencies and phased delivery.

It will also matrix-manage the cross-functional delivery team and partner closely with business owners and subject-matter experts to secure adoption, clear ownership and measurable value.

Key Responsibilities
· Product Strategy & Vision:
Define and communicate the vision, outcomes and roadmap for the Premium data product, aligned to Finance transformation priorities and wider Group Data strategy.
· Business Discovery & Scope:
Lead discovery with Finance, underwriting and business stakeholders to understand current premium and commission processes, reporting needs, pain points and data flows; translate these into a clear, prioritised and phased product scope.
· End-to-End Product Ownership:
Own the product across source data, interfaces into the Unified Data Ecosystem, transformation and conformance requirements, and interfaces out to dashboards, analytics and other consuming products e.g. planning tooling.
· Common Data Model:
Drive alignment of premium, commission and other data across business areas, including common grain, definitions, dimensions and business rules, while making differences and exclusions explicit.
· Stakeholder & Business Ownership:
Establish effective relationships with senior Finance leaders, business product owners, subject-matter experts, Data, Technology and external partners; secure decisions, sign-off and clear accountability for the product.
· Roadmap, Prioritisation & Dependencies:
Maintain an integrated roadmap and backlog covering source readiness, interfaces, platform capability, transformation, reporting and adoption; expose trade-offs and manage cross-team dependencies.
· Team Definition & Mobilisation:
Define the cross-functional team structure, capabilities, roles and capacity required to deliver the Premium data product once its scope and roadmap are established; identify resource gaps and work with delivery and functional leaders to mobilise the right team for each phase.
· Cross-Functional Delivery Leadership:
Matrix-manage engineering, architecture, data quality, analysis, reporting and testing specialists through discovery, design, build, validation and release, while maintaining clear separation between product outcomes and delivery execution.
· Data Governance, Quality & Controls:
Define ownership, lineage, metadata, access controls, reconciliation and quality expectations so that premium data is trusted, auditable and suitable for authorised use.
· Adoption & Value Realisation:
Define success measures, monitor product health and usage, and work with consumers to embed the product into reporting and decision-making while reducing manual reconciliation and duplicated data preparation.
· Lifecycle & Operating Model:
Agree the transition from change to run, including stewardship, support,…