PpStanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners. /ppThe Enterprise Platform Architect Tech Lead acts as the company’s bsenior technical authority /b, reporting directly to the CIO. /ppThis role defines, governs, and continuously evolves the btechnology foundations of the enterprise /b ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities. /ppThis is a bcross-cutting technical mandate /b not a functional management role with accountability for integrating, securing, and anticipating technologies across the organization. /ppThe role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into brobust, production-ready foundations /b. /ppA key and immediate priority is to blead the integration of AI technologies /b including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations across the company’s core stack: bInfor M3, HubSpot, Magento, Azure, and Power BI /b. /ppYour role and impact /ppb1. Integrate and scale AI technologies /b /ppAI is a core priority of this role. You lead the shift from experimentation to breal, scalable impact /b. /pulliDesign and implement bRAG (Retrieval-Augmented Generation) /b architectures leveraging company data for intelligent search and decision support /liliAssess and deploy bagentic workflows /b orchestrating processes across ERP, CRM, and e-commerce platforms /liliLeverage bN8N and similar orchestration tools /b to automate workflows across systems /liliDrive adoption of blow-code / no-code platforms /b within controlled and governed frameworks (e.g. Make, Bubble, Lovable) /liliLead proof-of-concepts and transform successful experiments into benterprise-grade solutions /b /liliBuild and govern a bcentral AI and application toolkit /b, tracking usage and performance /liliEnable future AI use cases such as product recommendations, pricing optimisation, demand forecasting, process automation, intelligent customer interaction /li /ulpb2. Foster communities and drive adoption /b /pulliBuild and lead bcommunities of practice /b across architecture, data, AI, and digital tools /liliPromote tools, standards, and good practices through bworkshops, documentation, and internal communication /b /liliEngage credibly with both btechnical and non-technical stakeholders /b /liliAct as a btrusted voice /b on technology topics across the organisation /li /ulpb3. Integrate across the technology landscape /b /ppThe company’s core stack bInfor M3 (ERP), HubSpot (CRM), Magento (e-commerce), Azure (cloud), Power BI (analytics) /b must operate as a bcoherent ecosystem /b. /pulliDefine and evolve the btarget architecture /b of the digital platform /liliEnsure bend-to-end integration /b across systems /liliGovern bdata flows, APIs, and shared services /b /liliDefine scalable bintegration patterns /b and eliminate point-to-point connections /liliSupport and challenge engineering teams and vendors bwithout becoming a bottleneck /b /li /ulpb4. Secure the foundations /b /pulliIdentify and address bstructural technical debt /b early /liliBalance binnovation speed with long-term sustainability /b /liliStructure bdata foundations /b as a shared enterprise capability (Azure Power BI) /liliEnforce best practices in security, resilience, performance, observability /li /ulpb5. Define and enforce standards, patterns, and documentation /b /pulliDefine and govern barchitecture standards and design patterns /b across all domains /liliMaintain clear and usable barchitecture documentation /b (topology, data models, integrations, APIs, security) /liliEstablish guidelines for teams, vendors, and partners to ensure bconsistency across the ecosystem /b /liliEnsure all major technical decisions are bdocumented, justified, and traceable /b /liliDefine bonboarding standards /b enabling fast and reliable integration of new teams and partners /li /ulpbScope Evolution /b /ppDepending on the candidate’s profile and the evolution of the IT organisation, the CIO may extend the scope of this role to include direct management responsibility over the following teams. All such decisions remain at the CIO’s sole discretion. /pullibAzure Architecture Security: /blead the Azure architect and security function, ensuring full alignment with enterprise standards and infrastructure strategy /lilibSystem Administration: /boversee the sysadmin function, ensuring platform stability, performance and operational security across all environments /lilibTechnical Support Team: /bmanage the technical support unit, driving service quality, incident resolution and operational continuity /li /ulpbAbout you /b /ppbExperience /b /pulli10+ years in architecture / technical leadership roles in complex enterprise environments, with strong exposure to B2B and/or B2C commercial platforms, marketplace models and omnichannel customer experiences /liliHands‑on familiarity with ERP‑centric environments (Infor M3 or equivalent), CRM platforms (HubSpot or equivalent), e‑commerce platforms (Magento or equivalent), Azure cloud infrastructure and Power BI /liliProven track record of establishing and maintaining technical standards, architecture documentation and governance frameworks /liliProven track record of taking AI or automation initiatives from experimentation to production /liliExperience working across multiple IT domains in an international environment at different levels of maturity and execution velocity /li /ulpbShort‑Term Priority /b /ppIn the near term, the role will focus on structuring and scaling the bcustomer‑facing technology ecosystem /b: /pulliCRM (HubSpot) /liliDigital and omnichannel experiences /li /ulpObjective: ensure the stack is bscalable, integrated, and ready to support future growth /b. /ppbTechnical Skills /b /pullibPlatform Integration Stack: /bInfor M3 integration patterns; HubSpot API and CRM data model; Magento (Adobe Commerce) architecture; Azure services (hosting, networking, identity, monitoring); Power BI data flows and semantic layer /lilibAI Automation: /bRAG pipeline design and deployment; AI agent frameworks; N8N or equivalent orchestration platforms; low‑code and no‑code integration platforms including evaluation of tools such as Lovable, Make and Bubble; LLM integration patterns and API‑based AI service design; knowledge graph and knowledge base design /lilibData: /bData modelling pipelines; semantic layer; analytics foundations; ML‑ready data preparation /li /ulpbLeadership Soft Skills /b /pulliStrong technical authority — able to bset direction and maintain architectural integrity /b /liliPragmatic and solution‑oriented, with a blong‑term systemic vision /b /liliAbility to bsimplify complexity and support decision‑making at senior level /b /liliExcellent written communication — producing documentation that teams actually use /liliComfortable promoting technologies and best practices across the organisation /liliHigh adaptability in bcomplex, fast‑evolving environments /b /liliFluent in English; French and Dutch are strong assets /li /ulpIf you’re looking to bshape the core technology of a growing international company /b, /ppand bring structure, clarity, and impact at scale—this is your role. /p /p #J-18808-Ljbffr