$ cat jobs/business-systems-ai-architect-nexthink-1b02f54ed7e6.json
Business Systems & AI Architect
Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Role Overview We are looking for a Business Systems & AI Architect to reimagine and evolve Nexthink’s internal technology landscape. This role goes beyond traditional architecture: you will challenge how our systems work today, identify opportunities to simplify, modernize, and augment them with AI, and help transition from a fragmented SaaS stack to a cohesive, intelligent, and scalable architecture. A critical part of this role is shaping our data foundation, ensuring that our data platform and warehouse enable both business insights and AI-driven use cases. Sitting at the intersection of business, IT, and AI, you will work across the organization to deeply understand how teams operate today and design how they should operate tomorrow. Key Responsibilities Architecture Transformation & SaaS Strategy Assess the current tech stack and identify opportunities to simplify, consolidate, or replace systems Lead the evolution toward a modern, AI-enabled architecture, reducing tool sprawl and operational complexity Define target architecture principles and drive migration from legacy patterns to scalable platforms Evaluate SaaS solutions not only for fit, but for their ability to integrate into a broader, data-driven ecosystem Data Platform & Warehouse Strategy Define and drive the implementation of a scalable data platform / data warehouse (e.g., Microsoft F