An experienced and customer focused Data Product Owner is required to lead and shape the data strategy within a Data Lakehouse program for a prominent client in the insurance sector. In this role, you will act as a driving force behind the development and optimization of data products, collaborating with cross-functional teams to advance reporting, data solutions, and governance initiatives within the Data Lakehouse ecosystem.

Key Responsibilities:

• Product Ownership of Data Strategy: Take ownership of the client’s Data Strategy, ensuring that product goals are aligned with customer needs and broader data roadmap objectives.
• Customer Focused: Set goals based on customer needs, defining and prioritizing features that deliver value. Gather customer feedback to iterate and improve products, ensuring solutions are intuitive and easy to use.
• Stakeholder Partnership: Build strong relationships with business units, IT, and senior stakeholders, maintaining transparency with business leaders to align on priorities and deliver solutions that meet strategic objectives.
• Strategic Vision: Define the product vision and set a clear direction that aligns with company goals. Prioritize the backlog to balance immediate needs with the long-term vision of data products.
• Data Product Lifecycle Management: Lead the end-to-end lifecycle of data products, from initial requirements gathering to deployment and continuous improvement.
• Organized and Detail-Oriented: Manage the backlog effectively, keeping priorities aligned and organized. Maintain transparency in decisions and priorities to ensure stakeholder alignment.
• Cross-Functional Collaboration: Engage with teams across finance, underwriting, operations, and IT to translate business needs into actionable, data-driven requirements. Actively participate in Agile ceremonies to foster collaboration and team synergy.
• Data Quality and Integrity: Champion data quality by leading testing efforts, performing data analysis, and establishing best practices to ensure reliable, high-quality data products for end-users.
• Governance and Compliance: Drive the implementation of data governance frameworks to support data quality, lineage, and regulatory compliance within the Lakehouse environment.
• End-User Empowerment: Deliver training and support for data products and BI tools, fostering a data-driven culture and ensuring users leverage the full potential of the Lakehouse.
• Continuous Improvement: Identify opportunities for data reporting enhancements, new BI tool adoption, and process optimizations to maximize data efficiency and insights.

Skills and Experience:

• Data Lakehouse Expertise: Demonstrated success managing Data Lakehouse or Warehouse products from initial analysis through full-scale implementation, ideally within the insurance sector.
• Product Ownership in Agile: Extensive experience as a Product Owner, Data Consultant, or Project Manager in an Agile environment, leading or collaborating within a scrum team.
• Effective Communicator: Skilled in building strong stakeholder relationships and managing good relationships with resolving entities while ensuring transparency with business leaders.
• Analytical and Detail-Oriented: High level of analytical skills and attention to detail, with a focus on data-driven decision-making.
• Data Modelling and Governance: Hands-on experience with data modelling, data lineage, and master data management.

Desirable Technical Skills:

• Knowledge of Databricks, Azure Data Factory, Python, and Power BI is highly advantageous.
• Familiarity with system development life cycle methodologies, including Agile, Waterfall, and DevOps.

This hybrid role requires periodic travel to client sites in the Midlands and London.