Senior Solutions Architect (Hybrid TO Worcester, MA)

For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.

We are seeking a highly experienced Senior Solution Architect with deep expertise in the Property & Casualty (P&C) Insurance domain to lead enterprise-scale digital transformation initiatives in our Worcester MA office in a hybrid work arrangement.

The ideal candidate will possess strong business and technical acumen, with a proven track record of designing and delivering modern insurance solutions across policy administration, claims, underwriting, billing, customer engagement, and distribution channels.

This role requires a hands‑on architect who can bridge business strategy and technology execution while driving cloud‑native, customer‑centric, and AI‑enabled solutions.

This is a full‑time, exempt position.

• Define and govern end-to-end solution architecture for large-scale P&C insurance platforms and digital initiatives.
• Partner with business stakeholders, product owners, and engineering teams to translate business requirements into scalable technology solutions.
• Develop architecture roadmaps aligned with enterprise architecture standards and business objectives.
• Lead architecture reviews, design workshops, and technical governance processes.
• Provide technology leadership throughout the software development lifecycle.

• Design solutions supporting P&C insurance capabilities including:
• Policy Administration, Underwriting, Claims, Billing
• Agency/Broker Portals
• Customer Self-Service Platforms
• Rating and Pricing
• Regulatory and Compliance Requirements
• Collaborate with business leaders to modernize legacy insurance applications and integrate third‑party insurance platforms.

• Architect customer‑facing web and mobile applications that improve customer acquisition, servicing, and claims experiences.
• Design omnichannel experiences integrating portals, mobile apps, CRM platforms, and contact centers.
• Ensure high availability, security, performance, and scalability across customer‑facing solutions.

• Lead adoption of cloud‑native architectures on Microsoft Azure.
• Define containerization and deployment strategies using Kubernetes.
• Evaluate and implement Generative AI (GenAI) use cases such as:
• Intelligent customer service
• Claims automation
• Knowledge assistants
• Underwriting support
• Document processing and summarization
• Drive integration strategies leveraging APIs, microservices, and event‑driven architectures.

• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• 10+ years of IT experience with 3+ years in Solution Architecture roles.
• Property & Casualty (P&C) Insurance industry experience required.
• Must be eligible to work in the US without requiring sponsorship now or in the future (i.e Lawful Permanent Resident or US Citizen)
• Proven experience leading large-scale enterprise transformation initiatives.
• Experience working with distributed Agile teams.
• Strong hands‑on experience in Java‑based Full Stack Development:
  • Java
  • Spring Boot
  • Microservices Architecture
  • React, Angular, or modern JavaScript frameworks
  • Mainframe experience is a plus
• Extensive experience with workflow and BPM platforms such as Pega
• Cloud &
  
  Infrastructure:
  • Microsoft Azure Cloud
  • Azure Kubernetes Service (AKS)
  • Docker and Containerization
  • Kubernetes
  • CI/CD pipelines and Dev Ops practices
• Integration & APIs:
  • API-led architecture
  • Enterprise Integration Patterns
  • Event-driven architecture
  • Messaging platforms (Kafka, Azure Service Bus, etc.)
• Mobile & Customer Applications:
  • Experience architecting and delivering:
  • Mobile applications (iOS/Android)
  • Customer self‑service portals
  • Agent/Broker portals
  • Digital claims and policy servicing platforms
• Generative AI:
  • Experience implementing Generative AI solutions using:
  • LLM-based applications
  • RAG (Retrieval‑Augmented Generation)