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About the context The D365 Programme is a multi-year global transformation Programme in Finance & Operations implementing Microsoft Dynamics 365 across all regions. It aims to harmonise multiple regional ERPs existing globally, while respecting divisional operating models and business specificities. It will create a standardized, single global core ERP model, based on the SaaS Microsoft D365 F&O platform. AI and intelligent automation have become central pillars of the testing and quality strategy — enabling faster test preparation, more predictable execution, higher coverage, and significant cost optimisation across global and regional deployments. Your role We are seeking a forward-looking D365 Test Manager who will lead the Programme's global testing with a strong bias toward AI adoption, automation, and intelligent quality assurance. Although operating as a solo Test Manager, you will work closely with System Integrator (SI) partners who bring specialised automation capabilities, including AI-driven script generation, automated execution, and accelerator-based testing services. Your role is to ensure these partners deliver maximum value, quality, and efficiency — especially through automation that reduces manual effort and lowers testing cost. You will own the global testing framework, govern SAT and Regression Testing, and enable regions to execute SIT/UAT/OAT successfully — all while embedding AI into the testing lifecycle and continuously identifying opportunities for automation across scenarios, processes, and releases. The impact you can create AI & Automation Leadership (Top Objective) ▪ Establish an AI-first testing strategy for the Programme. ▪ Lead adoption of AI tools such as Lidana (automated script generation), Tosca (automated regression), and AI copilots within ADO. ▪ Identify automation opportunities across GCM and regional processes. ▪ Expand automation coverage to reduce manual testing cycles and cost. ▪ Integrate automated tests into CI/CD pipelines. ▪ Use AI analytics to predict risks and improve quality outcomes. Delivery Management (AI-Optimised Execution) ▪ Govern SAT and Global Regression Testing end-to-end. ▪ Align global teams and regions to AI-enhanced testing plans. ▪ Drive readiness across SAT → SIT → UAT → OAT → Go-Live. ▪ Use AI-augmented dashboards for visibility and forecasting. Partner Management – With an Automation-Focused Ecosystem ▪ Collaborate with SI partners who provide automation-led scripting and execution services. ▪ Ensure partners maximise AI accelerators and automation toolkits. ▪ Challenge estimates and validate automation opportunities.▪ Drive accountability for quality, automation throughput, and SLA adherence. Delivery Assurance & Quality Governance ▪ Maintain and evolve the global testing governance framework. ▪ Ensure AI-supported traceability and automated evidence. ▪ Monitor risks and defects with AI-generated insights. Testing Strategy & Global Governance (AI-Enabled) ▪ Own global testing strategy across all testing phases. ▪ Maintain AI-enhanced templates, playbooks, and ADO structures. ▪ Improve the framework using AI release insights. Regional Enablement – Regions Execute, You Govern & Guide ▪ Provide AI-supported guidance and readiness standards. ▪ Support regions during SIT/UAT/OAT and ensure adoption of automation where valuable. Regression Testing Ownership – AI-Powered Two-Layer Model ▪ Govern Global Regression (RT1) and support Regional Regression (RT2). ▪ Expand automated regression coverage. ▪ Use AI analytics to maintain and optimise the regression suite. Test Automation – Core Pillar of the Role ▪ Lead automation strategy and roadmap. ▪ Scale automated regression for Platform Updates and global releases. ▪ Integrate automated tests into pipelines. ▪ Increase automation coverage every release. Success criteria ▪ Test Strategy refined if necessary and deployed. ▪ Quality Gates enforced. ▪ Test Coverage => 100%. ▪ Defect Leakage => 0. Tools & ADO Excellence ▪ Improve ADO setup for planning, execution, and reporting. ▪ Use AI dashboards for predictive insights. ▪ Capture lessons learned through AI-driven analysis. Technical Skills ▪ Strong technical foundation in Microsoft Dynamics 365 Finance & Operations, with a deep understanding of multi-system ERP landscapes (iPaaS, Power Platform, regional integrations) and the ability to diagnose cross-system issues and dependencies. ▪ Expert-level proficiency in Azure DevOps (ADO) for end-to-end test governance: planning, execution tracking, defect lifecycle, analytics, and release readiness.▪ Advanced AI-enabled and automation-driven testing capabilities, including: Lidana for AI- accelerated script generation and scenario optimisation; Tosca (or equivalent) for automated end-to-end and regression testing, especially for Platform Updates and repeatable global processes. ▪ Proven ability to scale test automation, integrate automated suites into CI/CD pipelines, and apply AI insights to improve coverage and efficiency. ▪ Familiarity with Azure cloud services, modern integration patterns (API-based, event-driven, middleware orchestration), and cloud-native monitoring models. ▪ Strong delivery discipline using Smartsheet, MS Project, or equivalent tools for managing timelines, dependencies, and multi-team coordination. ▪ Experience working with global stakeholders, SMEs, product teams and partnering with top- tier SIs (Avanade, Capgemini, PwC, HSO). What you will bring ▪ 10+ years of ERP testing leadership in large, global, multi-region programmes (ideally D365 F&O), with strong command of SAT, SIT, UAT, OAT and Regression cycles. ▪ Extensive experience overseeing testing in highly integrated environments and driving risk management, dependency control, and issue resolution. ▪ A strong automation background, with hands-on experience using Lidana (or similar test scripting tools) and Tosca (or equivalent test execution tools) to accelerate test preparation, expand automation coverage, and validate Platform Updates. ▪ Demonstrated ability to embed automated tests into CI/CD, scale automation release-over- release, and foster an efficiency-focused testing culture. ▪ Strong communication, stakeholder management, and organisational skills, able to lead multiple testing cycles in fast-paced global environments. ▪ A continuous-improvement and analytical mindset, with focus on AI adoption, automation expansion, and quality-driven delivery. ▪ Professional certifications such as Prince2 Practitioner or PMP, with fluency in English (French is an advantage).