Data Product Owner

Company: Munich RE
Apply for the Data Product Owner
Location: London
Job Description:

Data Product Owner – GSI Underwriting Workbench

During the GSI Underwriting Workbench program, we aim to automate data ingestion, submission prioritization, pricing integrations, rule applications, underwriting documentation, binding of business and policy issuance, and harmonize underwriting processes across GSI underwriting teams. The Data Product Owner provides leadership and strategic direction for all data-related decisions within the program. This role ensures that data needs across underwriting, operations, MI/analytics, and technology are aligned with a coherent vision. The owner manages the data roadmap, guides prioritization, and serves as the key decision maker for data requirements across all workstreams.

Responsibilities

  • Lead the data workstream of the global underwriting workbench program.
  • Drive the data product vision and strategy for the underwriting workbench.
  • Collect data requirements across GSI business units, insurance markets and lines of business.
  • Ensure alignment between program objectives, data architecture, and business needs.
  • Oversee and prioritize data‑related backlogs, epics, and user stories.
  • Provide subject‑matter input on enterprise data standards, quality rules, lineage, and governance.
  • Partner with Data Analysts, Data Governance, Engineering, and Product Owners across workstreams.
  • Advocate for and challenge data decisions to ensure consistency and scalability.
  • Strive for common information at the GSI level while supporting entrepreneurial business units in different markets.
  • Own the conceptual and logical data model and collaborate closely with IT on implementation.
  • Align critical data elements with other transformation programs in GSI.
  • Use advanced AI technology to extract information from submission documents.

Knowledge and Skills

  • Bachelor’s degree in Math, Computer Science, Engineering or a related field.
  • Strong background in data strategy, data architecture, or data product management.
  • Experience working in complex, matrixed environments with multiple stakeholders.
  • Excellent understanding of the global insurance market with relevant experience for 5+ years.
  • Proven project‑management capabilities in an agile setup for 5+ years.
  • Strong proficiency in technical data handling, e.g. writing SQL or Python scripts to manipulate data for 5+ years.
  • Comfortable making decisions with incomplete information and guiding others through ambiguity.
  • Entrepreneurial and customer‑centric mindset and ability to develop strategic targets and conceptually transform requirements into solutions.
  • Integrative personality, strong in building and maintaining relationships (internally and externally).
  • Drive and dedication, as well as creativity and hands‑on attitude to initiate and execute use cases.
  • Excellent ability to communicate to both technical and non‑technical communities to ensure data uses and limitations are well understood and will provide substantive business value.

Legal Statements

All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.

#J-18808-Ljbffr…

Posted: May 17th, 2026