Data Project Manager (remote)
Brunel
A Brunel está apoiando uma empresa referência em soluções de dados e analytics na busca por um(a) Gerente de Projetos de Dados .
Essa pessoa terá um papel estratégico na condução de iniciativas end-to-end — desde a fase de discovery até o go-live — atuando como ponte entre áreas técnicas e de negócio. O desafio envolve liderar projetos complexos de dados, garantindo entregas de alta qualidade, dentro do prazo e alinhadas aos objetivos da organização.
Buscamos um perfil que una forte experiência em gestão de projetos com repertório técnico em dados, capaz de navegar com autonomia entre stakeholders, engenharia e decisões de arquitetura.
Principais responsabilidades
- Liderar projetos de dados de média e alta complexidade (data warehouse, data lake, ETL/ELT, BI, migração de dados, entre outros).
- Definir e gerenciar escopo, cronograma, orçamento, recursos e riscos.
- Conduzir cerimônias ágeis (dailies, sprints, retrospectivas) e adaptar frameworks (Scrum, Kanban, híbrido) conforme o contexto.
- Atuar como interface entre times técnicos e áreas de negócio, traduzindo demandas em planos de execução claros.
- Monitorar KPIs de projeto (velocity, burn-down, progresso) e comunicar status para diferentes níveis da organização.
- Antecipar riscos, dependências e gargalos, propondo planos de mitigação.
- Gerenciar fornecedores e parceiros envolvidos nas entregas.
- Garantir documentação estruturada de processos, decisões e aprendizados.
- Impulsionar melhoria contínua nas práticas de gestão de projetos da área de dados.
Requisitos
- Experiência consolidada (5+ anos) em gestão de projetos de tecnologia, sendo ao menos 2 anos em projetos de dados ou analytics.
- Conhecimento prático do ecossistema de dados: data warehouse, data lake, ETL/ELT, modelagem de dados e ferramentas de BI (Power BI, Qlik, Tableau ou similares).
- Domínio de metodologias ágeis e tradicionais (Scrum, Kanban, PMBOK/Waterfall), com flexibilidade de aplicação.
- Experiência com ferramentas de gestão (Jira, Azure DevOps, Monday, Asana ou similares).
- Forte habilidade de gestão de stakeholders e comunicação executiva.
- Capacidade de interpretar documentação técnica (arquitetura, modelos de dados, integrações).
- Inglês fluente (interação constante com times e stakeholders internacionais).
Diferenciais
- Background técnico prévio (Data Analyst, Data Engineer ou BI Developer).
- Experiência com cloud (Azure, AWS ou GCP).
- Uso de soluções de IA como aceleradores de entrega.
- Conhecimento em SQL para validações básicas.
- Vivência com change management em contextos data-driven.
- Conhecimento em governança de dados (ex: DAMA-DMBOK).
- Certificações (PMP, PMI-ACP, CSM, PSM, SAFe ou similares).
- Experiência com gestão de portfólio e priorização estratégica.
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