Data Product Manager
S
Sedona DigitalInsurance data
United KingdomContract
Salary not disclosed
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Job Details
- Required Skills
- AgileMicrosoft Power BIJiraConfluence
Requirements
- Experience in commercial or specialty insurance, particularly with premium, underwriting, policy, commission or reinsurance data.
- Strong understanding of how premium data supports financial management, underwriting performance, planning, reporting and executive decision-making.
- Proven experience defining and managing data products from discovery and strategy through delivery, adoption and ongoing stewardship.
- Experience working across multiple source systems, business units and data models to establish common definitions, aligned grain and reusable data structures.
- Credibility with senior business, Finance, underwriting, Data and Technology stakeholders, and ability to facilitate decisions and build alignment.
- Ability to break down ambiguous problems, trace business outcomes to source data and transformations, and make scope and sequencing decisions.
- Practical knowledge of data ownership, controls, lineage, reconciliation, access management and quality standards in a regulated environment.
- Experience leading cross-functional teams and managing roadmaps, backlogs, risks and dependencies using Agile and appropriate project disciplines.
- Excellent written and verbal communication, including explaining complex data and delivery issues and providing executive-level updates.
- Understanding of Finance and underwriting reporting, including variation in premium measures and definitions, is a plus.
- Experience delivering enterprise data products on a cloud data platform and enabling Power BI or comparable analytics consumption is a plus.
- Experience using Jira, Confluence or similar collaboration and delivery-management tools is a plus.
Responsibilities
- Define and communicate the Premium data product vision, outcomes and roadmap in line with Finance transformation priorities and Group Data strategy.
- Lead discovery with Finance, underwriting and business stakeholders to understand processes, reporting needs, pain points and data flows.
- Own the product across source data, interfaces into the Unified Data Ecosystem, transformations, conformance and consuming products.
- Align premium, commission and other data across business areas, including common grain, definitions, dimensions and business rules.
- Maintain an integrated roadmap and backlog, expose trade-offs and manage cross-team dependencies.
- Define the cross-functional team structure, capabilities, roles and capacity needed for delivery.
- Matrix-manage engineering, architecture, data quality, analysis, reporting and testing specialists through discovery, design, build, validation and release.
- Define ownership, lineage, metadata, access controls, reconciliation and data quality expectations.
- Define success measures, monitor product health and usage, and support adoption in reporting and decision-making.
- Agree the transition from change to run, including stewardship, support and ongoing product improvement.
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