Rumo

Financial Planning and Analysis

• Execução de transações e parcerias societárias, atuando nas etapas de originação, due diligence e negociação técnica, para viabilizar o crescimento inorgânico e a expansão estratégica da companhia;
• Projetos Estruturantes;
• Suportar estruturação de modelos de parcerias e contratos comerciais de longo prazo com previsão de Capex, através da análise de viabilidade e negociação de estruturas de investimento com parceiros/clientes, visando o desenvolvimento de novos ativos e infraestrutura logística;
• Elaborar modelagens financeiras de alta complexidade e estudos de valuation, utilizando métricas de mercado e premissas operacionais, para fundamentar tecnicamente as decisões de alocação de capital e novos investimentos;
• Prover suporte técnico à Diretoria em comitês de investimento e fóruns de decisão, consolidando indicadores e apresentações executivas, para assegurar que os projetos estejam alinhados às diretrizes estratégicas e de governança do Grupo Cosan.

Especialista Financeiro, Pl.

Machine Learning Engineer

• Create and maintain the MLOps and DevOps pipeline, ensuring deployment, monitoring, and governance of ML models.
• Build training and deployment pipelines; implement CI/CD for ML and create and maintain CI/CD pipelines (GitHub Actions, Bamboo, GitLab CI, or similar).
• Operate and evolve workloads on ECS, EKS (Kubernetes), Fargate, and managed services.
• Design, implement, and maintain AWS infrastructures using Infrastructure as Code (Terraform).
• Monitor performance and model/data drift, and implement observability practices (logs, metrics, traces) using tools like CloudWatch and Datadog.
• Integrate feature stores and environments.
• Automate operational processes using Shell scripts and Python.
• Ensure security and governance: IAM, KMS, access policies, Secrets Manager/SSM.

MLOps Engineer

Architect

• Definir e evoluir a arquitetura corporativa de dados, analytics e ML, garantindo coerência, escalabilidade e alinhamento estratégico.
• Definir arquitetura de referência para Dados e MlOps.
• Avaliar tecnologias relacionadas a dados.
• Definir padrões de integração.
• Apoiar decisões técnicas complexas.
• Garantir alinhamento com TI corporativo e Operacional.

Arquiteto de Dados

Analyst

• Garantir a confiabilidade dos dados por meio de regras, monitoramento e métricas de qualidade.
• Definir regras de qualidade de dados.
• Implementar testes automáticos.
• Criar SLAs de dados.
• Monitorar e alertar falhas.
• Atuar junto aos domínios na correção de problemas.
• Sólida experiência com AWS (EC2, ECS, EKS, S3, RDS, IAM, KMS, CloudWatch).
• Experiência em mensurar métricas de qualidade.
• Experiência com testes de qualidade de dados.

Analista de Qualidade de Dados, Senior

Procurement

• Liderar negociações de alta complexidade e de forma autônoma, através de análises de custo, avaliação de riscos, interação com fornecedores e alinhamento com o cliente interno, buscando as melhores condições comerciais e operacionais;
• Desenvolver e implementar de forma autônoma estratégias de categoria e sourcing, gestão de fornecedores e redução de custos de médio e longo prazo, incluindo projetos de desenvolvimento de novos fornecedores e inovações. Carteira de alta complexidade;
• Garantir conformidade com legislação, normas regulatórias, tributárias, seguros, financeiro, ESG, políticas internas e de segurança aplicáveis ao setor;
• Propor e desenvolver em conjunto com a área de negócio, de forma antecipada, documentação de contratação;
• Elaborar e analisar mapa comparativo de propostas, cronograma, fluxo de desembolso, abertura de custos e preços, acompanhamento e suporte a Gestão Contratual com proposição de melhoria contínua;
• Propor, desenvolver e assegurar a gestão de indicadores, mediante análises recorrentes, reporte estruturado e avaliação de desvios, apoiando a tomada de decisão e impulsionando ações preventivas e corretivas alinhadas aos objetivos do negócio.

Especialista de Suprimentos

• Develop and maintain model training, validation and inference pipelines.
• Design feature and data pipelines that support machine learning applications in production.
• Convert models developed in exploratory environments into reproducible, scalable pipelines.
• Integrate machine learning solutions into the organization’s data ecosystem.
• Collaborate with engineering, DevOps and DataOps teams to evolve the platform and the organization’s machine learning practices.
• Work closely with data scientists to operationalize analytical models.
• Support the transition of models from exploratory environments to production pipelines.
• Build pipelines that enable recurring training, updating and model evolution.
• Ensure models can run at scale and meet performance requirements for operational use.
• Prepare, structure and transform the data required for model training and execution.
• Develop data pipelines and feature engineering focused on machine learning applications.
• Work with data engineering to ensure the availability and quality of the data used by models.
• Implement monitoring mechanisms for model performance, stability and behavior in production.
• Support the identification of model degradation and the need for retraining.
• Contribute to the continuous improvement of machine learning solutions in production.
• Ensure software development best practices are applied to machine learning solutions.
• Use code versioning, code review and engineering practices for developing ML pipelines.
• Contribute to the standardization and evolution of the area’s machine learning engineering practices.

Customer Success Manager

• Support the management and maintenance of the customer database in the CRM;
• Perform data updates, segmentation, and cleansing;
• Support the creation, execution, and monitoring of relationship campaigns;
• Monitor results and performance indicators of campaigns;
• Prepare operational reports and customer data analyses;
• Support initiatives for communication automation and the customer journey;
• Ensure quality, organization, and governance of information in the CRM;
• Work in partnership with business areas;
• Identify opportunities to improve the customer experience.

CRM, Product Analyst

Project Manager

• Assess portfolio alignment with the company's strategic plan, prioritizing initiatives for maintenance, rehabilitation and modernization of the rail network.
• Develop prioritization criteria, feasibility analyses and resource allocation strategies, considering track asset criticality, operational safety and return on investment.
• Lead scenario planning and simulations to support strategic, portfolio-level decision-making with the Executive Board.
• Monitor the portfolio using financial, schedule and resource dashboards, including correlations with permanent way performance indicators (reliability, availability, THP).
• Identify and mitigate risks impacting multiple projects, with attention to rail safety, maintenance window constraints and regulatory compliance.
• Structure and lead rail network improvement projects, supporting the review of track maintenance strategies (corrective, preventive, predictive and condition-based maintenance).
• Promote continuous improvement of PMO methodologies and foster technological innovations applicable to track maintenance and monitoring.

Project and Portfolio Management Specialist

• Prepare and monitor financial indicators, budgets and forecasts, analyzing variances between actuals and budgeted amounts
• Conduct financial performance analyses, including margins, profitability and operational efficiency
• Support business management with strategic insights and recommendations for improvement
• Manage and ensure governance of financial data in financial systems (e.g., SAP)
• Control and correct discrepancies in financial planning and expense allocations
• Collaborate with cross-functional teams to align assumptions, projections and results
• Identify opportunities to improve processes for data collection, consolidation and analysis
• Develop and maintain documentation of financial processes and methodologies

Financial Analyst – Senior

Product Manager

• Lead end-to-end digital product initiatives.
• Evaluate solution feasibility and oversee development, deployment and user acceptance with the end user.
• Conduct in-depth discovery to define and validate hypotheses for the digital solution.
• Structure phased rollout strategies and ensure the continuous evolution of the product.
• Work closely with involved areas, facilitating routine alignment and promoting continuous process improvement.

Product Owner

• Prepare and monitor financial indicators, budgets, and forecasts, analyzing variances between actual and budgeted results;
• Conduct financial performance analyses, including margins, profitability, and operational efficiency;
• Support business management with strategic insights and recommendations for improvement;
• Manage and ensure governance of information in financial systems (e.g., SAP);
• Control and adjust discrepancies in financial planning and expense allocations;
• Interact with different departments to align assumptions, projections, and results;
• Identify opportunities to improve processes for data collection, consolidation, and analysis;
• Develop and maintain documentation of financial processes and methodologies.

Senior Financial Analyst

Business Analyst

• Independently conduct complex requirements elicitation and analysis with multiple stakeholders, including business leadership.
• Analyze AS-IS business processes and propose improvements and optimizations for TO-BE processes.
• Translate business needs into clear, complete and technically feasible functional and non-functional requirements.
• Ensure consistency across processes, systems, integrations and user experience.
• Assess solution impacts on other systems and organizational areas.
• Evaluate systemic impacts, risks, dependencies, costs and benefits of proposed solutions, maintaining an end-to-end perspective.
• Prepare, review and ensure the quality of requirements documentation, user stories, acceptance criteria, flows and diagrams.
• Actively participate in refinements, planning sessions, reviews and other project rituals, influencing technical and functional decisions.
• Support development and QA teams throughout the solution lifecycle, clarifying doubts and validating deliveries.
• Lead the requirements change management process, assessing impacts on scope, schedule, cost and risks.
• Support validation and acceptance of solutions with the business areas.
• Ensure solutions comply with internal policies, corporate standards, regulatory requirements and industry best practices.

Senior Business Analyst – Technology

• Act as a strategic partner in the design and execution of Learning Academies, ensuring alignment with the company’s objectives;
• Structure, review and monitor onboarding programs, promoting an integrated and consistent experience for new employees;
• Curate learning content and methodologies, using different formats (e-learning, blended learning paths, workshops, microlearning, among others);
• Research trends and best practices in corporate education, bringing continuous innovation to the programs;
• Monitor and analyze learning metrics (participation, satisfaction, effectiveness, and business impact), proposing continuous improvements;
• Coordinate with internal areas and external vendors, ensuring the quality and effectiveness of initiatives;
• Support strategic organizational development projects, strengthening the culture and leadership agenda.

Senior DHO Analyst – Corporate Education

Risk

• Implement and sustain a federated data governance and analytics model, ensuring quality, compliance and clear ownership, and ensuring corporate data is well-defined, documented, reliable and understood across the organization.
• Create and maintain a data catalog in collaboration with business areas.
• Ensure data lineage and ownership, define data owners, train them and lead Technical Committees.
• Support domains in documentation and monitor quality standards.
• Define data governance policies while maintaining the federated model (central + domains).
• Define data quality, classification and usage rules, and ensure compliance with the LGPD (Brazilian General Data Protection Law).

Data Governance Analyst – Senior

• Analyze financial performance (actual results) versus established plans (budget).
• Analyze and prepare periodic indicators and projections to support commercial/business management, demonstrating budgeted vs. actual values and future projections (forecast), identifying potential needs for adjustments.
• Provide support for business management presentations. Prepare data uploads into systems for use in analyses and management reports.
• Monitor and adjust changes in financial planning, including distortions arising from expense recognition.
• Interact with other financial areas (FP&A consolidation/Opex/Controllership/Billing/Commercial) to understand the forecasts and results that will be considered for the business.
• Provide support for monthly close and account reconciliations, and use the data to prepare and deliver management results on the established schedules.
• Support process mapping and continuous improvement initiatives within the area.