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Supports sales effectiveness through CRM administration, data governance, reporting, pipeline management, territory and quota administration, process automation, and sales enablement. Develops dashboards and analyses, maintains data integrity, identifies process improvements, supports forecasting and business reviews, and trains sales users on systems and operational processes.

Implements Dynamics 365 CE and Power Platform solutions, including pro-code customizations, integrations, PCF controls, plugins, JavaScript, Azure Functions, and AI features. Executes ALM and DevOps deployments, participates in code reviews, supports junior team members, contributes to component design and estimates, and maintains coding quality. The consultant works within broader technical architectures and delivers work packages for client transformation projects.

Leads end-to-end delivery of complex Microsoft Dynamics, ERP, CRM, and cloud implementation projects. Owns scope, schedule, budget, quality, risks, dependencies, change control, forecasting, and financial performance. Coordinates cross-functional onshore, offshore, client, and vendor teams, including 20+ consultants. Provides executive governance, steering committee reporting, escalation management, stakeholder communication, commercial oversight, and delivery process improvement.

Leads end-to-end delivery of large, complex Microsoft consulting projects, managing scope, schedules, budgets, risks, quality, dependencies, change, governance, and financial performance. Coordinates cross-functional onshore, offshore, client, and delivery teams, including 20+ consultants. Provides executive reporting, stakeholder communication, escalation management, project controls, commercial forecasting, change orders, and delivery process improvement.

Coordinates international recruitment activities, including interview scheduling, calendar and time-zone management, candidate communications, ATS updates, recruitment tracking, reporting, and stakeholder support. The role helps recruiters deliver a seamless candidate experience, manages multiple priorities accurately, and contributes to improving recruitment processes across countries and business functions.

Lead AI Consultant responsible for translating client needs into scalable AI and machine learning solutions. Leads requirements gathering, architecture, implementation, deployment, monitoring, and operationalization of ML and generative AI solutions using Microsoft Azure services. Advises clients on AI best practices, explores and integrates data, leads delivery teams, ensures security and CI/CD standards, and presents recommendations to stakeholders.

Designs and delivers learning and adoption solutions for ERP and enterprise transformation programs. Responsibilities include training needs analysis, curriculum design, blended learning development, delivery, evaluation, stakeholder consulting, risk management, quality assurance, and continuous improvement. The role advises clients and project teams, supports business readiness and user adoption, and builds accessible, user-centered learning experiences across varied client environments.

Design, develop, and maintain complex Databricks data pipelines, APIs, and large-scale analytics systems. Collaborate with analytics, data science, and engineering teams to solve data challenges, improve platform capabilities, and support business-critical operations. The role requires strong experience with Spark, Delta Lake, cloud data platforms, Python, APIs, relational databases, and orchestration tools, with autonomy and ongoing technical learning.

Leads client-facing data and analytics consulting engagements, advising on data engineering, BI, advanced analytics, and AI solutions. Responsibilities include requirements gathering, solution architecture, Microsoft Fabric and Azure Databricks implementations, ETL/ELT design, data modelling, Power BI reporting, and delivery leadership. The role also mentors junior consultants, oversees project execution, and supports the growth of the Portugal-based Data, Analytics & AI team.

Designs and delivers data engineering, business intelligence, and advanced analytics solutions for clients. Responsibilities include gathering requirements, modeling and transforming data, developing cloud-based data platforms and ETL solutions, creating reports and dashboards, advising on analytics best practices, and integrating machine learning or generative AI capabilities. The role requires strong client-facing consulting experience and the ability to translate business needs into technical solutions.