At a Glance
- Tasks: Lead data strategy and drive innovation in the GSI Underwriting Workbench program.
- Company: Join a forward-thinking company transforming the insurance industry with data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and entrepreneurial spirit.
- Why this job: Make a real impact by shaping data strategies that enhance underwriting processes.
- Qualifications: Bachelor's degree and 5+ years in data management or related fields required.
The predicted salary is between 60000 - 80000 € per year.
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.
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.
Data Product Owner in London employer: Munich Re
As a Data Product Owner at our company, you will thrive in a dynamic and innovative work culture that prioritises collaboration and employee growth. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and strategic thinking, all while being part of a global team dedicated to transforming the insurance industry through advanced data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data product ownership. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving data strategy and management. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Product Owner in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Product Owner role. Highlight your background in data strategy and project management, and don’t forget to mention any relevant experience in the insurance market!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your entrepreneurial mindset can contribute to our GSI Underwriting Workbench program. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills:Since this role requires strong technical data handling skills, make sure to include examples of your experience with SQL or Python. We want to see how you've used these skills to drive data-related decisions in previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Munich Re
✨Know Your Data Inside Out
As a Data Product Owner, you need to demonstrate a solid understanding of data strategy and architecture. Brush up on your knowledge of SQL and Python, and be ready to discuss how you've used these skills in past projects. Show them you can handle data like a pro!
✨Align with Business Needs
Make sure you understand the business objectives behind the role. Be prepared to talk about how you would collect data requirements across different business units and ensure alignment with program goals. This shows that you’re not just a techie but also a strategic thinker.
✨Showcase Your Project Management Skills
Since this role involves managing backlogs and prioritising tasks, highlight your experience in agile project management. Share specific examples of how you've successfully led data-related projects and navigated complex environments with multiple stakeholders.
✨Communicate Effectively
You’ll need to bridge the gap between technical and non-technical teams. Practice explaining complex data concepts in simple terms. During the interview, demonstrate your ability to communicate clearly and effectively, ensuring everyone understands the data's value and limitations.
