D365 Test Manager - Statos Global - Southall

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).