Stanley/Stella
E-Commerce
EnterprisePlatformArchitect&TechLead
Neural analysis suggests this role is
optimal for Senior candidates.
“Enterprise Platform Architect & Tech Lead at Stanley/Stella. Skills: Enterprise Platform Architecture, Tech Lead, AI Integration, Platform Integration. Integrate and scale AI technologies. Design RAG architectures”
What You'll Achieve.
Strengthen customer experience; Scale business platforms; Prevent fragmentation; Avoid long-term consequences; Translate emerging tech; Lead AI shift; Achieve scalable impact; Support future growth
Industry & Context.
Simplify complexity; Support decision-making
What They're Looking For.
Must Have
10+ years architecture/technical leadership, B2B experience, Magento experience, Azure cloud infrastructure experience, Power BI experience
Nice to Have
Fluent in French, Fluent in Dutch
What You'll Do.
Integrate and scale AI technologies
Design RAG architectures
Deploy agentic workflows
Automate workflows across systems
Drive low-code/no-code adoption
Ensure API-first AI integration
Lead proof-of-concepts
Transform experiments into solutions
Track toolkit performance
Enable future AI use cases
Foster communities of practice
Promote tools and standards
Promote good practices
Engage with stakeholders
Define target architecture
Evolve target architecture
Ensure system integration
Govern shared services
Define integration patterns
Eliminate point-to-point connections
Support engineering teams
Challenge engineering teams
Identify technical debt
Address technical debt
Balance innovation speed
Balance long-term sustainability
Structure data foundations
Enforce security best practices
Enforce resilience best practices
Enforce performance best practices
Enforce observability best practices
Define architecture standards
Enforce architecture standards
Define design patterns
Enforce design patterns
Maintain architecture documentation
Establish guidelines for teams
Establish guidelines for vendors
Establish guidelines for partners
Ensure ecosystem consistency
Own architecture review processes
Own pattern libraries
Document technical decisions
Justify technical decisions
Trace technical decisions
Define onboarding standards
Enable fast integration
Enable reliable integration
How You'll Work.
Team & Collaboration
Communities of practice; Cross-functional teams; Engineering teams; Vendor collaboration
Communication Scope
Written communication; Promoting technologies; Promoting best practices
Full Job Description
Your purpose at Stanley/Stella Stanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners. The Enterprise Platform Architect & Tech Lead acts as the company’s senior technical authority , reporting directly to the CIO. This role defines, governs, and continuously evolves the technology foundations of the enterprise ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities. This is a cross-cutting technical mandate not a functional management role with accountability for integrating, securing, and anticipating technologies across the organization. The role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into robust, production-ready foundations . A key and immediate priority is to lead the integration of AI technologies including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations across the company’s core stack: Infor M3, HubSpot, Magento, Azure, and Power BI . Your role and impact 1. Integrate and scale AI technologies AI is a core priority of this role. You lead the shift from experimentation to real, scalable impact . Design and implement RAG (Retrieval-Augmented Generation) architectures leveraging company data for intelligent search and decision support Assess and deploy agentic workflows orchestrating processes across ERP, CRM, and e-commerce platforms Leverage N8N and similar orchestration tools to automate workflows across systems Drive adoption of low-code / no-code platforms within controlled and governed frameworks (e.g. Make, Bubble, Lovable) Ensure API-first AI integration : reusable, composable, auditable services Lead proof-of-concepts and transform successful experiments into enterprise-grade solutions Build and govern a central AI and a
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