Analytics Product Owner

Náplň práce, právomoci a zodpovednosti:
Join a dynamic and innovative Property & Casualty Data Analytics team. Our mission is to harness the power of Data Analytics to create a competitive advantage for Property & Casualty Reinsurance. By generating actionable insights, we aim to enhance data-driven decision-making and improve business outcomes.

We’re looking for an Analytics Product Owner to join our team and own the end-to-end lifecycle of analytics products—from ideation to delivery and ongoing improvement. In this role, you will bridge business and engineering, translating strategic needs into actionable solutions, and driving tangible value creation through data.

If you enjoy a combination of business interaction, hands-on technical work, and product management in a global environment, this might be the perfect role for you! You'll get to participate in a variety of interesting initiatives.

About the Role

As an Analytics Product Owner, you will:

- Own the end-to-end lifecycle of data and analytics products, from idea to implementation, ensuring alignment with business goals and user needs.
- Translate business problems into analytics solutions by collaborating closely with stakeholders, data scientists, engineers, and domain experts.
- Define and maintain the product roadmap, prioritising features and use cases based on value, feasibility, and strategic fit.
- Drive the end-to-end QBR process by preparing content, aligning with key stakeholders, and presenting progress, outcomes, and strategic priorities for owned products, enabling informed decision-making at senior levels.
- Ensure delivery excellence by managing sprint goals, MVP definitions, acceptance criteria, and ongoing feature refinement.
- Drive adoption and measurable impact, ensuring analytics products are embedded into business processes and generate tangible value.
- Act as the voice of the user, collecting feedback, defining user stories, and ensuring a consistent and intuitive user experience.
-Work with cross-functional teams to ensure successful delivery.
- Stay up to date with the latest technologies and best practices to drive sustainable and efficient data products.

Key responsibilities

- Define and drive the product vision for data and analytics capabilities, aligning with business priorities, AI transformation goals, and cross-functional strategies.
- Manage the product backlog and roadmap, prioritising features and use cases based on business impact, user needs, and technical feasibility.
- Translate business requirements into actionable user stories by collaborating closely with underwriters, claims experts, actuaries, and data scientists.
- Leads preparation and execution of QBRs, aligning stakeholders and driving data-informed decisions.
- Ensure high-quality delivery and adoption, by coordinating with engineering teams, validating outputs, and tracking usage and business value across releases.
- Act as a key interface between business and tech, aligning with data governance, platform architecture, and enterprise-wide AI initiatives to ensure scalable, compliant solutions.

Zamestnanecké výhody, benefity:
You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Informácie o výberovom konaní:
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Požiadavky na zamestnanca:
To be successful in the role, you have:

- 3+ years of work experience delivering data-related solutions in the financial industry, consulting, or tech.
- Experience in building data-driven applications and storytelling with data
- Experience in business analysis and requirements engineering
- Experience in information modelling and building data pipelines
- Proficiency in modern coding languages, such as Python or TypeScript.
- Excellent communication in English, with the ability to articulate technical concepts to non-technical audiences

If you also have the following experience and interests, it is a huge plus: 

- Experience in reinsurance/insurance industry
- Knowledge of Azure, Palantir Foundry and Typescript
- Project management abilities within agile frameworks
- Experience working in a multinational or cross-cultural environment.