Product Manager Credit & Surety

Be at the forefront of insurance innovation.

 

Join Swiss Re’s Underwriting Analytics transformation journey as a Vice President / Product Manager, where you will define and lead the next generation of data-driven underwriting platforms that shape decision-making across one of the world’s leading reinsurance companies.

 

 

About the Role

 

As a Vice President - Product Manager, you will own the strategic vision, technical roadmap, and enterprise delivery of underwriting analytics products and platforms. You will operate at the intersection of underwriting, data science, and engineering, translating business ambition into scalable, resilient, and high-impact technology solutions.

You will lead product strategy for mission-critical analytical ecosystems that power underwriting decisions globally, ensuring alignment with Swiss Re’s data architecture (including Stargate and enterprise platforms), AI/ML initiatives, and long-term digital transformation objectives.

This is a highly cross-functional leadership role requiring deep technical fluency, strong commercial understanding, and the ability to influence senior stakeholders across underwriting, actuarial, risk, and technology functions.

 

 

Key Responsibilities

 

Product Strategy & Vision

• Define and own the multi-year product vision and roadmap for Underwriting Analytics platforms and tools
• Drive alignment between underwriting business strategy and analytics platform capabilities
• Translate strategic objectives into prioritized product backlogs and measurable outcomes
• Establish product KPIs tied to underwriting performance, portfolio steering, and capital efficiency

 

Technical & Architectural Leadership

• Partner with engineering leads, data architects, and AI/ML teams to design scalable, modular, and high-performance analytics ecosystems
• Ensure architectural alignment with enterprise data platforms (e.g., Stargate) and cloud strategy
• Govern technical standards for reliability, auditability, model transparency, security, and regulatory compliance
• Drive modernization of legacy analytical tooling into robust, cloud-native, API-enabled platforms
• Ensure interoperability between data pipelines, ML models, dashboards, and underwriting workflow systems

 

Execution & Delivery Excellence

• Lead cross-functional squads comprising engineers, data scientists, app developers, and analysts
• Oversee end-to-end product lifecycle: discovery, design, build, deployment, monitoring, and iteration
• Implement strong governance around release management, testing, observability, and technical debt management
• Ensure high availability and performance of business-critical analytical systems

 

Stakeholder & Change Leadership

• Act as a strategic partner to senior underwriting and business leaders globally
• Influence executive stakeholders through data-backed product strategy and measurable value realization
• Build trusted relationships across underwriting, actuarial, risk, portfolio steering, and technology communities to proactively identify emerging needs and opportunities.
• Drive adoption of analytics tools through change management and clear value articulation
• Communicate complex technical concepts effectively to both technical and non-technical audiences
• Challenge assumptions constructively and help business stakeholders identify scalable alternatives to localized solutions.

 

User Journey & Underwriting Experience Leadership

• Map end-to-end underwriting journeys to identify inefficiencies, bottlenecks, manual workarounds, and opportunities for automation and optimization.
• Develop a deep understanding of how information is created, consumed, and transformed across the underwriting value chain.
• Identify hidden dependencies, data handoffs, process friction, and "black-box" decision points that impact underwriting effectiveness.
• Design product capabilities that improve the flow of information from source systems through to underwriting decisions.
• Ensure products are intuitive, understandable, and embedded into day-to-day underwriting workflows.

 

Innovation & AI Enablement

• Identify and scale opportunities leveraging AI/ML, generative AI, advanced analytics, and automation
• Champion experimentation frameworks and innovation pipelines within underwriting analytics