Enterprise Architect
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.
About the Role
Swiss Re is seeking an experienced and forward-thinking Enterprise Architect to strengthen its Group Enterprise Architecture function. As a member of the Enterprise Architecture community, you will shape and lead enablement capabilities and architecture governance across all enterprise-level initiatives.
As part of Group Enterprise Architecture, you will work across Domains, business areas, technology teams and governance forums to make architecture guidance easier to discover, apply and enforce. You will translate operational pain points into practical solutions: streamlined workflows, trusted architecture information, actionable intelligence, reusable guidance and fit-for-purpose automation, including AI-enabled capabilities where appropriate.
This is an enterprise-facing individual contributor role with accountability for tangible improvements in efficiency, adoption, decision speed and architecture quality. Delivery assignments may arise occasionally for high-priority cross-domain initiatives or to validate and improve enablement and governance capabilities.
Key Responsibilities
Architecture Tooling & Digital Enablement
Own the design and evolution of architecture enablement tooling, workflows, dashboards and self-service capabilities that support architects, governance bodies and business stakeholders.
Integrate architecture repositories and relevant enterprise data sources to improve discoverability, traceability, information quality and decision usefulness.
Identify opportunities for workflow automation, AI-assisted analysis and decision support; prototype, validate and operationalize solutions with appropriate controls.
Establish product-like ownership of enablement capabilities, including user needs, prioritized backlog, adoption, reliability and continuous improvement.
Process Optimization & Operational Excellence
Map and challenge existing architecture processes, eliminating duplication, unnecessary handoffs and low-value manual work.
Simplify architecture intake, assessments, reviews, decision recording, exception handling and follow-up through risk-based and proportionate controls.
Define measurable service outcomes such as cycle time, manual effort avoided, automation coverage, throughput and stakeholder experience.
Implement feedback loops that convert recurring cases, issues and decisions into reusable guidance and systemic process improvements.
Architecture Governance & Decision Intelligence
Improve the effectiveness of Design Authority and architecture governance through clear decision rights, review criteria, evidence requirements and transparent escalation.
Create actionable insights from architecture decisions, inventories, risks, standards adoption and cross-domain dependencies to support enterprise steering.
Strengthen architecture information quality, ownership, lifecycle governance and change control so decisions are based on reliable and current evidence.
Develop practical standards, reference architectures, patterns and guidance that help teams make consistent decisions with less friction.
Enterprise Collaboration, Adoption & Change
Partner with Domain Architects, delivery teams, data owners, platform teams and risk/control functions to shape common solutions and encourage reuse.
Engage architecture community members to understand needs, test tooling, provide demonstrations, publish guidance and drive adoption.
Communicate progress and impact to leadership using concise, outcome-based reporting and evidence of improvements.
Coach colleagues and champion an automation-first, continuous-improvement mindset across the architecture community.
Selective Architecture Delivery & Feedback
Provide enterprise architecture leadership or targeted design assurance for selected strategic, complex or cross-domain initiatives when required.
Challenge architecture trade-offs, alignment with target state, resilience, security, integration, sustainability and total cost of ownership.
Feed lessons, emerging patterns and information gaps from delivery engagements back into enterprise tooling, standards and governance.
Expected Outcomes & Measures of Success
Reduced architecture review and decision turnaround time, with improved transparency and traceability.
Measurable reduction in repetitive manual work through streamlined processes, automation and self-service.
Improved completeness, freshness and usability of architecture information across relevant sources.
Higher adoption and reuse of common architecture tools, standards, guidance and decision patterns.
Evidence that governance insights lead to resolved recurring issues and better enterprise-wide decisions.
About You
We are looking for a pragmatic, curious and collaborative professional who combines strong systems thinking with a hands-on builder mindset. You are someone who can move seamlessly from concept to prototype to sustainable operational capability, engage diverse stakeholders with confidence and champion continuous improvement across a complex enterprise environment.
We are looking for candidates who meet these requirements:
8+ years of experience in enterprise or solution architecture, architecture governance, technology transformation or architecture enablement within a complex organisation.
Proven ability to improve enterprise processes and deliver practical tooling, workflow automation, integrations or data-driven decision-support capabilities.
Working knowledge of architecture repositories, information models, APIs, data quality, dashboards, governance workflows and enterprise architecture frameworks.
Degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience.
Fluent written and spoken English, with the ability to communicate clearly across technical and business audiences.
These are additional nice to haves:
Experience with AI/GenAI-enabled automation, knowledge graphs, agentic workflows or analytics, with sound judgment about reliability, security and controls.
TOGAF or equivalent architecture certification; relevant cloud, data, automation, AI or governance certifications are also welcome.
Experience in re/insurance or financial services.
Skilled in stakeholder engagement, facilitation and influencing without authority, driving change across Domains.
Strong outcome ownership, clear communication, sound prioritization and willingness to challenge inefficient ways of working.
Ability to translate enterprise needs into prioritized deliverables and demonstrate adoption, efficiency and business impact.
Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week.
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
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