Role Description Procuramos um Consultor Sênior de Migração de Dados para reforçar a equipa responsável pela migração de SAP ECC para SAP S/4HANA, abrangendo módulos logísticos e financeiros. O profissional deverá ter experiência sólida em projetos de grande dimensão, envolvendo sistemas SAP e sistemas legados não SAP. O consultor atuará em todo o ciclo de migração — análise, mapeamento, transformação, carga e validação — com interação frequente com o cliente e equipas funcionais. Se você gosta de ambientes dinâmicos, sabe navegar bem entre áreas técnicas e de negócio e quer fazer parte de uma transformação significativa, essa vaga pode ser sua. - Conduzir o processo completo de migração de dados SAP ECC → S/4HANA; - Realizar levantamento, análise e mapeamento de objetos e definição de regras de migração; - Executar extração, transformação e carga de dados utilizando: - SAP Data Services (BODS) - SAP Migration Cockpit - IDocs - LSMW - RFC / integrações - Trabalhar com objetos dos módulos MM, SD, PP, WM, FI e CO; - Coordenar testes de migração, validações, reconciliações e atividades de cutover; - Interagir com o cliente e equipas internacionais para esclarecimentos e validações; - Produzir documentação técnica e funcional em inglês; - Trabalhar de forma colaborativa em ambiente multicultural. Qualifications - Experiência comprovada em migração de dados em projetos SAP; - Participação em projetos de grande porte com sistemas SAP e não SAP; - Domínio de SAP Data Services, Migration Cockpit, IDocs, LSMW e RFC; - Experiência em projetos de migração para S/4HANA; - Boa capacidade de comunicação para interação diária com o cliente; Requirements - Local: Remoto; - Disponibilidade para atuar no horário de Portugal.

• Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning. • Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight. • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences. • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations. • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs). • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively. • Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes. • Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling. • Present findings and recommendations to senior leadership, including options and trade-offs. • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles. • Contribute to additional analytics initiatives as business needs evolve.

• Own and lead end-to-end delivery of complex technical programs, from concept through launch and adoption • Leverage AI embedding it into program workflows to accelerate planning, reporting, and coordination, and ensuring output quality and governance • Drive alignment with Product and Engineering to define roadmaps, align timelines, and drive execution • Define and evolve program operating models (cadence, governance forums, reporting structures) to improve alignment and execution predictability • Build and manage integrated program systems, including plans, milestones, dependencies, and scalable processes • Drive cross-functional coordination across Product, Engineering, UX, Data, and GTM teams • Design and utilize scalable program execution systems that improve speed, consistency, and cross-team visibility • Identify, track, and proactively mitigate risks, dependencies, and execution gaps • Monitor and improve program predictability across delivery progress, timelines, dependencies, and decision velocity • Drive program reporting and communication, delivering clear narratives and high-quality insights that enable effective technical and executive decision-making • Drive change management and adoption, influencing teams to adopt new ways of working and improving execution outcomes at scale

• Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications • Evolve our data platform alongside cloud platform engineers • Design and implement scalable data infrastructure • Develop data services and APIs that expose trusted data to product applications • Own data quality and observability • Partner with AI engineers, data scientists, analysts, and product teams • Uphold strong data privacy, security, and compliance practices • Create and maintain comprehensive documentation of data flows, models, and systems