Overview
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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