Dynamic Crm Transformation Expert

Há 3 dias


Manaus, Brasil Bebeetransformation Tempo inteiro

We are seeking a highly skilled Dynamic CRM Transformation Expert to lead our client's digital transformation initiative.This is an exciting opportunity to work on simplifying and optimising a complex CRM ecosystem, defining a long-term roadmap for technical transformation, and contributing to the development of high-impact digital solutions.Key ResponsibilitiesEvaluate the current Dynamics 365 CE architecture, customizations, entity model, and configuration.Identify sources of complexity, performance bottlenecks, and fragility in the system.Develop strategies to simplify the architecture and reduce technical debt, improving the overall efficiency and effectiveness of the system.Analyse integrations including Dataverse OData APIs, Outbound Event Messages, and ESB, identifying areas for improvement and recommending enhancements.Review data flows, reconciliation challenges, and environment promotion processes, proposing robust data governance and integration patterns.Ambient Engineers For Azure DevOps pipelines and multi-environment deployment practices, recommending automation improvements for deployment reliability.Review managed service framework and suggest future support models, ensuring seamless day-to-day operations and optimal system performance.Produce findings and recommendations report, clearly articulating technical findings and business recommendations.Define short-term stabilisation and medium-term optimisation roadmap, outlining key milestones and deliverables.Requirements:Senior-level expertise in Dynamics 365 Customer Engagement (Sales Enterprise module).Strong experience with integration technologies: Dataverse APIs, ESB messaging, web services.Deep knowledge of Azure DevOps, CI/CD pipelines, and deployment strategies.Proven experience in CRM architecture rationalisation and modernisation.Experience assessing managed service models and support optimisation.Advanced problem-solving and stakeholder communication skills.Ability to translate technical findings into business recommendations.Strong understanding of data modelling, reconciliation, and automation.Comfortable working in fast-paced discovery phases (2–3 weeks).



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