Product Manager Data-Driven Underwriting Solutions (80 - 100% working degree)

Swiss Re; Madrid; Hybrid; EUR 45,000 - 75,000; Full time

Job summary

Swiss Re is seeking a seasoned Product Manager to own the lifecycle of underwriting-related capabilities, with a focus on Underwriting Assistant. You will partner with global teams to balance regional needs with a coherent product strategy and deliver value through data-driven insights and AI enhancements.

Based in Madrid, this role embraces a hybrid work model and offers a base salary with performance-based incentives, along with global and location-specific benefits.

Qualifications

• Proven B2B software product management experience.
• Translation of complex business needs into clear requirements and acceptance criteria.
• Strong analytical skills with data confidence for decision making.
• Proven ability to collaborate across regions and functions and manage diverse stakeholders.

Responsibilities

• Shape the product vision, roadmap and priorities for underwriting solutions.
• Translate business and client needs into clear requirements, user journeys and acceptance criteria.
• Drive product development with technology, AI and UX teams, manage dependencies and testing.
• Advance AI-driven underwriting capabilities, including data extraction and summarisation.
• Collaborate with clients and partners to translate opportunities into product capabilities.
• Align stakeholders across regions and functions, communicating priorities and delivery expectations.

Skills

B2B product management

Requirements translation

Analytical judgement

Stakeholder management

Communication and negotiation

Job description

Location: Madrid, M, ES

About the role

As part of the Data-Driven Underwriting & Analytics team, you will manage the product lifecycle for assigned capabilities within our underwriting solutions portfolio, with an initial focus on Underwriting Assistant. You will work closely with fellow Product Managers, regional underwriting experts, clients, business analysts, UX designers, technology teams, and external partners. The role combines product direction with hands-on requirements, prioritisation and release readiness, balancing regional needs with a coherent global product.

Key responsibilities

• Product strategy and roadmap: Shape the product vision, roadmap and priorities, balancing client needs, market opportunities, business value and delivery capacity.
• Discovery and requirements: Understand underwriting workflows and translate business and client needs into clear requirements, user journeys and acceptance criteria.
• Product delivery and quality: Work closely with technology, AI and UX teams to drive product development, manage dependencies, coordinate testing and continuously improve product quality.
• AI and medical evidence: Advance AI-driven underwriting capabilities, including medical evidence extraction, summarisation and integration of data sources such as electronic health records, APS and laboratory reports, with a focus on accuracy, transparency and usability.
• Client and partner collaboration: Support client engagements, proofs of concept and implementations. Collaborate with external technology and data providers to evaluate solutions and translate opportunities into product capabilities.
• Stakeholder management and governance: Align stakeholders across regions and functions, communicate product priorities and delivery expectations.

About the team

The Data-Driven Underwriting & Analytics team works at the intersection of underwriting, technology and data within Life & Health Solutions. We collaborate across regions and disciplines to develop solutions that help insurers make better use of evidence and insights, improve underwriting workflows and realise value from using data and AI.

About you

You are a curious, driven, and experienced software Product Manager who thrives on connecting business needs with technology. You bring structure and clarity to complex topics, and you know how to influence and inspire colleagues across teams and geographies without relying on formal authority. You're equally comfortable in a client conversation, a backlog refinement session, or a strategic planning workshop.

We are looking for candidates who meet these requirements

• Proven B2B software product management experience: A strong track record of managing products from discovery and requirements through to delivery and adoption, with solid command of roadmap planning, backlog prioritisation, and the software development lifecycle.
• Requirements translation and prioritisation expertise: Demonstrated ability to translate complex, competing business needs into clear requirements and acceptance criteria, and to make smart prioritisation decisions in resource‑constrained environments.
• Analytical judgement and data confidence: Strong analytical skills with the confidence to work with data, technical teams, and external partners to assess options and make evidence‑based product decisions.
• Exceptional communication, negotiation and stakeholder management: Proven ability to collaborate across regional and functional boundaries, manage diverse stakeholder groups, and engage effectively with clients. Confident in negotiating priorities with regional stakeholders, constructively challenging requests and pushing back when needed, ensuring decisions are guided by business value, evidence and global product strategy rather than stakeholder pressure.

These are additional nice to haves

• Familiarity with the Life & Health insurance or reinsurance value chain, underwriting workflows, and medical evidence processes.
• Experience with AI/ML-enabled products, generative AI, document extraction and summarisation, and an understanding of associated quality and governance considerations.
• Knowledge of SaaS products, API‑based integrations, vendor evaluation, UX design principles, and client implementation and adoption strategies.

Hybrid work model

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week. #LI-Hybrid

Salary and benefits

For Spain the annual base salary range for this position is between EUR 45 000 and EUR 75 000 (for a full‑time role). The specific salary offered considers:

• the requirements, scope, complexity and responsibilities of the role,
• the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.

In addition to your base salary, Swiss Re offers an attractive performance‑based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

About Swiss Re

Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance‑based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting‑edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.

Equal opportunities

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Career restart statement

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

AI and privacy statement

We may use AI‑powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.

Keywords and Reference Code

Keywords: Reference Code: 139668