Product Manager Credit & Surety

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
• Foster a product culture centered on measurable impact, usability, and continuous improvement
• Evaluate emerging AI capabilities through the lens of underwriting workflows, user adoption, governance, and measurable business outcomes.
• Drive responsible AI adoption by ensuring explainability, transparency, and operational integration into underwriting decision processes.
• Identify opportunities where AI can remove friction from information discovery, decision support, and workflow orchestration.

 

 

About the Team

 

You will join the Global Underwriting Data & Analytics team - a high-impact group combining underwriting expertise, advanced analytics, and modern engineering capabilities.

As a senior leader within the team, you will shape not only products, but also engineering standards, platform evolution, and talent development. You will operate in a global, matrixed environment where collaboration, intellectual curiosity, and delivery excellence drive meaningful business outcomes.

 

 

About You

 

You are a technically sophisticated product leader with a strong engineering foundation and a deep understanding of data-intensive platforms. You think in systems, not features. You are comfortable debating architecture with engineers, challenging model assumptions with data scientists, and discussing commercial trade-offs with underwriting leadership.

 

You combine strategic thinking with operational rigor and thrive in environments where complexity and scale intersect.

 

• Bachelor's / Master’s or in Computer Science, Engineering, Data Science, Mathematics, or related quantitative discipline
• 7+ years of experience in data product management, technical product leadership, or platform ownership within data-intensive environments
• Strong background in software engineering practices and modern data architectures
• Experience building and scaling analytics platforms, data products, or decision-support systems
• Deep understanding of cloud-native architectures (Palantir-Foundry/Azure/GCP/AWS), data warehousing (Snowflake), and modern data platforms
• Strong technical fluency in PySpark, Python, SQL, APIs, distributed systems, and data pipelines
• Systems thinker capable of connecting strategy, processes, information flows, technology, and business outcomes.
• Strong consultative mindset with the confidence to challenge assumptions and influence strategic direction.
• Ability to navigate ambiguity, synthesize diverse stakeholder perspectives, and drive clarity in complex environments.
• Proven experience balancing business urgency with technology sustainability and enterprise scalability.
• Proven experience leading cross-functional engineering and analytics teams
• Demonstrated ability to define product strategy and deliver measurable business outcomes
• Experience within insurance, reinsurance, financial services, or risk management domains
• Exposure to underwriting workflows, pricing models, or portfolio steering processes
• Familiarity with platforms such as Palantir-foundry, enterprise data lakes, or large-scale AI/ML deployment environment.
• Experience embedding AI/ML models into production decision systems
• Experience operating in agile, global, matrixed organizations

• Mentorship and development of product managers and technical talent
• Strong executive communication skills
• Ability to operate autonomously in ambiguous, high-impact environments

 

 

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week,

Experience Level

Mid Level