As Product Owner for data exploitation within Allianz Commercial, you own the vision, roadmap and backlog for a portfolio of data products and lead a cross-functional Scrum team from concept to value realization. You align with commercial data priorities across business domains, shaping data products that deliver practical value and a trusted data view. This high-visibility role focuses on using data to drive faster, better-informed decisions and improve customer and broker outcomes, with hybrid work from Guildford. You’ll collaborate with business and data colleagues to enable scaling and adoption of data-driven insights.
Pay / Benefits
Flexible benefits package
Hybrid working
Annual performance bonus
Contributory pension
Development days
Employee discounts
Responsibilities
Own the data product roadmap, vision and backlog for one or more business domains.
Collaborate with business teams and data specialists to deliver trusted data views and measurable value.
Improve data quality and ensure integration with workflows and reporting.
Identify opportunities to use data to improve decision making and portfolio performance.
Act as voice of the customer within the Scrum team, define epics and user stories, and prioritise backlog.
Prepare for and contribute to Program Increment (PI) planning with clear objectives.
Make timely decisions on what to build, balancing MVP with business benefit and deadlines.
Build and nurture relationships with business owners, domain experts, and cross-functional teams.
Demonstrate progress to the business ahead of releases to support adoption.
Key requirements
Experience in insurance or financial services, ideally with exposure to commercial insurance.
Specialist knowledge in distributions, pricing, portfolio management or underwriting is beneficial.
Strong interest in data and value creation from data products, analytics or AI/automation tools.
Willingness to learn Product Owner role and Agile methods (Scrum/Kanban).
Previous Product Owner experience is welcome but not essential.
Excellent communication and stakeholder management, able to influence at all levels.
Ability to translate business needs into clear requirements.
Critical thinking and sound judgement with a risk-based decision approach.
Self-motivated team player who energises a cross-functional team.
Experience with data products, analytics or AI/automation tools.
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