Lead Solutions Architect MMH
Listed on 2026-02-21
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IT/Tech
Systems Engineer, Cloud Computing, Data Engineer
Role Purpose
The Lead Solution Architect will drive the end-to-end solution architecture for the enterprise insurance modernisation programme, spanning policy administration, claims, digital engagement, integration, data, and operational platforms.
The role will translate target enterprise architecture principles into executable, scalable, and resilient solution designs that enable a client-first, API-first, and event-driven ecosystem.
This role partners closely with the Enterprise Architect and wider architecture team, domain leaders, engineering teams, and vendors to ensure architectural integrity, delivery coherence, and long-term sustainability of the modernised insurance platform landscape.
There is already a clear, sensible strategic direction in place, with meaningful progress made. The expectation for the Lead (and the broader team) is to build on that foundation, not to discard or restart it. Their role is to strengthen, accelerate, and ope rationalise what’s already been defined — ensuring continuity, stability, and incremental evolution. Any improvements should be evidence-based and respectful of the current architecture and organisational context.
TechnologyEnvironment
The Modernisation Programme Operates Within a Predominantly
- Java-based application ecosystem
- AWS cloud environment
- API-first and event-driven integration model
- BPM and decision management platforms
- Containerised deployment (e.g., Kubernetes)
Candidates should demonstrate experience designing solutions in comparable enterprise technology environments.
Requirements- 12 years in enterprise solution architecture.
- Experience in large-scale insurance or financial services transformation.
- Proven track record in modernising legacy ecosystems.
- Deep experience with:
- API-led and event-driven architectures
- BPM / workflow platforms
- Decision engines / rules management
- Cloud-native and microservices architecture
- Enterprise integration patterns
- Experience working in board-visible transformation programmes.
In Brownfield Enterprise Environments Is Highly Desirable, Including Use Of Incremental Migration Strategies And Architectural Decomposition Approaches Including
- Modular decomposition in brownfield environments.
- Strangler patterns.
- Anti-corruption layers.
- Transitional architectures.
- Define solution blueprints aligned to the enterprise target architecture.
- Ensure domain-aligned service boundaries (policy, claims, billing, party, product).
- Drive separation of orchestration, decisioning, domain services, and experience layers. Ecosystem & Platform Architecture
- Design API-first integration patterns across legacy and modern systems.
- Establish event-driven architecture patterns.
- Define orchestration standards across claims and operational processes.
- Ensure business rules are externalised via decision engines.
- Avoid hard-coded process logic in workflow tools.
- Enable straight-through processing and intelligent human intervention.
- Define scalable, resilient, and secure deployment patterns.
- Partner with platform engineering on CI/CD, observability, and Dev Ops maturity.
- Embed non-functional requirements from inception.
- Ensure performance, availability, and security standards are met.
- Ensure operational and event data is captured for analytics.
- Support real-time streaming to enterprise data platforms.
- Enable SLA monitoring, fraud detection, leakage analytics.
- Design for regulatory auditability and traceability.
- Provide architectural leadership across multiple vendors.
- Conduct solution design reviews and enforce architecture standards.
- Challenge vendor-led designs that compromise long-term maintainability.
- Reduce vendor lock-in risk.
- Support operating model shift toward product-centric delivery.
- Guide cross-functional squads in solution design.
- Ensure architecture runway supports iterative delivery.
- Act as escalation point for complex design trade-offs.
- Claims platforms (BPM & case management)
- Digital channels (broker, client, internal)
- Integration layer & API strategy
- Decisioning & rules management
- Data streaming & analytics enablement
- Core system decoupling
- Cloud-native platform design
- Operational tooling & observability
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