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Sapiens

SaaS insurance software for core processes

Lead Business Value Delivery Architect/Solution Architect - ES

Pre-Sales Solution Engineering +1Updated on Nov 9
Full-timeDenmarkNo salary listedHybrid

About the Job

Requirements

  • A strong track record designing or leading solution design in complex, enterprise-scale property and casualty insurance implementations, ideally across both presales and delivery.
  • Extensive hands-on property and casualty insurance experience.
  • Deep property and casualty domain expertise across policy administration, underwriting, billing, and claims, covering personal, commercial, and/or specialty lines.
  • Ability to speak credibly with both business stakeholders such as a Head of Claims or Underwriting and engineers.
  • Expertise in non-functional and operational requirements, including performance, scale, availability, security, integration, and operability.
  • Proven ability to keep internal teams and clients aligned to agreed business outcomes.
  • Experience with, or strong aptitude for, migrating property and casualty legacy or core systems to software as a service, including policy and claims data conversion.
  • Ability to work in a function that is still being built, with processes and tooling defined alongside initial deals.
  • Skill in using artificial intelligence-driven tools and platforms to design, optimize, and scale enterprise solution architectures.

Responsibilities

  • Engage during the sales cycle from general discovery through down select to build product and industry context on the opportunity.
  • Frame solutions around client business outcomes, mapping desired outcomes to actual platform capabilities.
  • Establish a business outcome baseline with the client, identifying post-go-live capabilities and how both parties will measure them.
  • Own the jointly agreed definition of done.
  • Address non-functional and operational requirements, including performance, scale, availability, security, integration, data migration, operability, and support, during solution design.
  • Contribute to the implementation plan by defining implementation order and known dependencies, especially client dependencies.
  • Resolve platform gaps with Product and Research and Development by securing a core-platform commitment with aligned timelines or designing the requirement into an extension layer shipped with the core.
  • Provide solution-architecture depth behind the presales and industry expert team.
  • Support bids with clearly stated assumptions.
  • Move into rapid planning after signing and harden the solution against platform capabilities, steering toward standard configuration over bespoke development.
  • Hand over a clear, documented solution design to the delivery team at the start of build and safeguard its integrity through delivery.
  • Hold internal teams and the client accountable for agreed business outcomes and how they will be achieved.
  • Stay engaged through quarterly business reviews to identify outcome or value drift early.
  • Apply the definition of done and ensure the client is positioned to realize the agreed value before considering the project complete.
  • For assigned clients, own migration outcomes using the analyze, dispose, bridge, and migrate framework across the existing product portfolio and beyond.
  • Define with each client the value unlocked by migration and the key performance indicators that will confirm it.
  • Serve as the first internal customer for artificial intelligence in delivery and own the tools and standards for their use.
  • Set source-of-truth precedence when inputs conflict: signed document over email, email over presentation deck, and deck over verbal input.
  • Define what a human must verify in artificial-intelligence-drafted work rather than approving it on sight.
  • Flag information missing from inputs, including tacit processes, stakeholder disagreements, and edge cases.
  • Work with the solution-architecture group to improve processes, outputs, and tools for faster, better implementations, especially the software-as-a-service migration factory, and establish a delivery-to-discovery feedback loop to recalibrate inaccurate scope.

Desired Qualifications

  • Exposure to reinsurance or the London Market.
  • Hands-on experience with cloud-native platforms and a track record at born-in-the-cloud companies, bringing modern software-as-a-service delivery practices to a global enterprise environment.

About the Company

Sapiens

SaaS insurance software for core processes

Sapiens provides cloud-based software for the insurance industry, offering modules for policy administration, claims management, and underwriting to help insurers run operations more efficiently. Its products are accessed as a software-as-a-service, delivering end-to-end insurance workflows through integrated modules that handle policies, claims, and risk with regular updates. The company differentiates itself through a long track record since 1982, a broad, integrated product portfolio, and a global footprint, strengthened by acquisitions like Candela and AdvantageGo to expand capabilities and regional reach, especially in Asia-Pacific. Its goal is to help insurers deliver better customer experiences by providing scalable, cloud-based software and services to support core processes.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Holon, Israel
Founded
1982

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