VIQU are partnering with a leading financial services organisation undergoing a significant data transformation, building out a modern data product capability to drive business insight, efficiency, and innovation. They are seeking a Data Product Manager to take ownership of key data products, shaping roadmaps and ensuring the successful delivery of high-value data assets across the business. This is a pivotal role focused on driving execution, adoption, and continuous improvement within a fast-paced, Agile environment.
Key Responsibilities
- Own and manage the end-to-end lifecycle of data products, ensuring alignment with wider business and data strategy
- Define, maintain, and deliver product roadmaps that prioritise business value and user needs
- Manage and prioritise the product backlog, balancing new feature delivery with technical debt and scalability requirements
- Act as the key interface between business stakeholders, data engineering, analytics, and delivery teams
- Lead Agile ceremonies including sprint planning, backlog refinement, and retrospectives
- Translate business requirements into clear, actionable product features and acceptance criteria
- Ensure data products meet governance, compliance, security, and data quality standards
- Monitor product performance and user feedback, driving continuous improvement and iteration
- Lead and coordinate cross-functional delivery squads to ensure timely and effective product delivery
Key Experience Required
- Proven experience in Data Product Management or Product Ownership within data-driven environments
- Strong background within insurance (non-negotiable)
- Experience working with cloud data platforms (ideally Azure) and tools such as Databricks
- Strong understanding of Agile delivery methodologies and product lifecycle management
- Demonstrable experience managing product backlogs, prioritisation, and roadmap delivery
- Excellent stakeholder management skills with the ability to influence at all levels of the organisation
- Experience working closely with data engineering and analytics teams to deliver scalable data solutions
- Strong understanding of data governance, compliance, and data quality principles
- Ability to lead cross-functional teams in a fast-paced, delivery-focused environment
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