Senior Customer Success Manager, RDS Insurance

Swiss Re
New York, NY
Locations: New York, NY, US | Chicago, IL, US | Alpharetta, GA, US | Armonk, NY, US

Are you passionate about bridging the gap between cutting-edge risk analytics and real-world client success? Join our dynamic Risk Data Solutions team where you'll lead insurance and reinsurance clients to unlock the full potential of our property and natural catastrophe solutions. This role offers a unique opportunity to blend commercial acumen with technical expertise while making a tangible impact on how clients navigate complex risk landscapes.

About the role

As a Senior Customer Success Manager, you will own the client journey – from initial sales through implementation, design, adoption, and long-term growth. You will be the orchestrator of client value, working at the intersection of analytics, underwriting expertise, and business strategy.

Key Responsibilities:

  • Drive strategic sales across the North American market, leveraging Swiss Re's comprehensive portfolio of risk data products and services
  • Lead end-to-end customer success initiatives, with particular focus on property and NatCat related use cases, ensuring strong adoption, retention, and expansion
  • Foster collaboration with Reinsurance Underwriting and Key Account management colleagues to align our solutions with client priorities and strategic objectives
  • Deliver structured onboarding and training programs, translating complex NatCat and property analytics into practical client workflows and decision frameworks
  • Spearhead renewals and expansion in partnership with Sales and Reinsurance account teams, contributing directly to Net Revenue Retention and long-term profitability
  • Develop comprehensive Success Plans and lead Executive/Quarterly Business Reviews, connecting solution usage to measurable business outcomes.
  • Advocate for client needs within RDS, channeling customer insights into product development, delivery improvements, and roadmap prioritization.
  • Implement data-driven approaches to customer health monitoring, leverage usage metrics, engagement indicators, and risk signals to proactively manage relationships

Posted 2026-08-03

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