National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

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

Crossell
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (Viator)...

Pricing Manager (Data Scientist) - Remote

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist

Junior/Mid/Senior Data Scientist - Hybrid, London

Senior Data Scientist

Select how often (in days) to receive an alert:

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

Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our internal start-up squad and find an encouraging environment in which we aspire for client delight and make it happen for Swiss Re!

About the Team

This role is within the Global Data Driven Underwriting (DDUW) Solutions team under Swiss Re Life & Health division. You will be joining the DDUW product team who is on a mission to create a best-in-class risk tech solution in underwriting for Life Insurance carriers to address the current industry pain points with disparate data sources.

This team is instrumental in working with clients, regional internal stakeholders and the IT development team to continually evolve the Product suite, bringing market leading capabilities and solutions to our clients.

About the Role

As a Senior Product Manager, you will join a Product team to drive the product design, feature development, prioritization and release management. You will own the EMEA & APAC regional delivery of Data driven UW products like Second level evidence, Underwriting Ease, Digital Health UW etc and work closely with the Product head on expanding to different use cases and client implementations. The candidate is delivery focused and motivated to drive tangible value creation and delight clients.

Deeply passionate and knowledgeable about how data can drive business effectiveness, the selected candidate will also represent the Data Driven UW Solutions team in internal and external initiatives involving markets expansion. As delivery is key, the candidate will also be adept at driving planning and managing stakeholders to ensure efficient and seamless execution and communication of same.

5 Key areas of this role:

  1. Requirements gathering and Ideation – Gather requirements from markets and plan features to address right market need and feedback.
  2. Backlog management – Define and own the features backlog and requirements that enable the product vision and roadmap to be achieved. Sign off development plans and software releases.
  3. Release management – Own configurations, release plans and communication to clients around releases.
  4. Go-to-market – Contribute to marketing, client presentations and communications materials. Create internal and external media like newsletter, yammer posts and proposal decks.
  5. Strategy and partnership – Work with existing product tech partners to drive strategy and manage maintenance of tech feature dependencies.

About You

We are seeking a team player with strong communication and presentation skills, ideally with prior experience in consulting or a B2B environment. Experience in life insurance underwriting or Insurtech product teams is a plus. The ideal candidate will be adaptable, able to coordinate across time zones and regions, and have a positive, 'can do' attitude.

Position Requirements:

  1. 6+ years of experience in managing Software products. Background in Computer Science, Information Management. Basic understanding of insurance value chain and life insurance underwriting in European markets/UKI.
  2. Experience with database queries with SQL, scripting queries like python, basic data analysis, etc.
  3. Experience creating and managing product backlogs, facilitating prioritization, and applying Agile frameworks (ADO, release management). Experience running design thinking workshops & building business case proposals.
  4. Ability to create product roadmaps, applying strategies like RICE, MoSCoW for right-sizing. Strong knowledge of software development lifecycle.
  5. Experience working with healthcare/clinical data like GPRs, nurse screenings and UW data like financial reports.
  6. Understanding of AI/machine learning capabilities and rules engine automation and integrating via APIs.

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. 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 14,000 employees across the world.

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.

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.

Keywords:

Reference Code:132709

Job Segment:Underwriter, Senior Product Manager, Product Manager, Data Analyst, Data Management, Insurance, Operations, Data

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.