The role
Job description
Roles and Responsibilities for Product Owner / Data Solution Specialist
Role purpose
Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.
Key responsibilities
Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.
Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.
Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.
Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model. The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.
Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.
Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.
Drive stakeholder reviews, requirement/design decisions and formal business sign-offs.
Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.
Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.
Experience/profile required
7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.
Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.
Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.
Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.
Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.
Strong communication and stakeholder-management skills across regional and market teams.
Strong problem-solving abilities with an emphasis on data-driven decision-making