Rumo

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

Machine Learning Engineer

• 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

Financial Planning and Analysis

• 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

Analyst

• 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.

FP&A Analyst, Mid-level

• Support the lifecycle management of technology initiatives.
• Track project phases and statuses, ensuring information is kept up to date.
• Monitor compliance with governance gates.
• Support monitoring of portfolio progress.
• Consolidate project status information.
• Assist in preparing materials for forums and executive committees.
• Record meeting decisions and action items.
• Ensure organization and historical records of strategic information.
• Support management of exceptions and initiatives outside standard workflows.
• Maintain and update portfolio information.
• Ensure data is complete and up to date in systems.
• Assist users with correct data entry.
• Assist in organizing project documents and records.

Junior Technology Analyst

• Supplier Evaluation Program Management: Collect and consolidate supplier performance data (quality, delivery, cost, compliance); score and classify suppliers based on criteria defined by the COE; produce regular performance reports (monthly/quarterly).
• Follow-up on Action Plans: Identify performance gaps and develop corrective action plans (CAPs) together with suppliers; monitor implementation of improvements and validate results; document evidence and report status to leadership. Support the SRM strategy: Assist in supplier segmentation (categorization by criticality and impact); participate in review meetings with strategic suppliers; keep supplier master data up to date in the system (SAP or similar).
• Data Analysis and Continuous Improvement: Use tools (Excel, Power BI) to create monitoring dashboards; propose improvements to the supplier evaluation and management process.
• Internal Integration: Collaborate with Purchasing, Logistics, Operations and Compliance teams to align expectations and evaluation criteria.

Procurement Analyst, Junior

• Manage the portfolio of technology initiatives, ensuring strategic alignment, disciplined intake, prioritization and monitoring of project performance.
• Responsible for structuring planning, forecasts, physical progress curve and financial curve, ensuring executive visibility, governance and data-driven decision making.
• Manage the technology project portfolio, ensuring alignment with business strategy.
• Support the strategic prioritization process of initiatives.
• Structure and monitor strategic planning, schedules and project milestones.
• Classify incoming requests (strategic / quick win / maintenance/support).
• Work closely with Business Partners (BPs) and requesting areas.
• Monitor project forecasts (scope, schedule, cost and capacity).
• Build and track the physical progress curve (delivery evolution) and the financial curve (budgeted vs. actual).
• Prepare executive materials and dashboards for governance committees.
• Ensure disciplined intake of initiatives into the portfolio by evaluating the minimum required information.
• Track portfolio performance indicators and propose improvements.
• Identify risks, dependencies and impacts between projects.
• Support the standardization of methodologies, templates and project management processes.
• Collaborate closely with business areas and technology teams.
• Consolidate information for reporting to executive leadership.

Project Analyst

• Implement and sustain the federated data and analytics governance model, ensuring quality, compliance and clear ownership, and ensuring that corporate data are well defined, documented, reliable and understood across the organization.
• Create and maintain the 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 rules for data quality, classification and usage, and ensure adherence to LGPD.