Rumo

Project Manager

• 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

Risk

• 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.

Senior Data Governance Analyst

Analyst

• Support the execution of the annual SOX cycle, including monitoring requests and tracking the schedule
• Support internal and external audit processes by organizing information and following up on requests
• Assist in assessing control deficiencies, including impact analysis and supporting the definition of remediation plans
• Monitor and update action plans, ensuring follow-up and adherence to deadlines
• Support maintenance of the SOX Control Matrix and the Process Control Matrix (non‑SOX)
• Support the internal controls self-assessment process with business areas
• Work together with ITGC (IT General Controls) teams and other areas to ensure alignment and consistency of controls
• Contribute to area improvement initiatives, including process and tooling enhancements
• Manage access and governance activities, including analysis for granting and reviewing access profiles
• Support the update of training materials and content for the internal controls academy

Internal Controls Analyst – Mid-level

Human Resources

• Act as an internal consultant, supporting leaders in decision-making on people-related matters.
• Lead performance management rituals and calibration sessions.
• Lead strategic initiatives related to employee climate, engagement, organizational culture, and development.
• Anticipate people-related risks and propose solutions aligned with corporate priorities.
• Support the development and evolution of leadership and manage the talent pipeline.
• Drive succession processes, internal movements, and career development.
• Ensure adherence to HR policies and support the continuous improvement of corporate practices.
• Assist corporate areas in change and organizational transformation processes, ensuring that people management strategies align with required changes.

HRBP Analyst, Senior

• 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.

Analista de Qualidade de Dados Sr.

• Lead the annual SOx cycle, including planning, execution and schedule follow-up
• Serve as the focal point for internal and external audits, addressing requests and alignments
• Assess control deficiencies, including impact analysis, severity assessment and definition of remediation plans
• Structure, monitor and report action plans, ensuring progress and adherence to deadlines
• Manage and maintain the SOx Control Matrix and the Process Control Matrix (non-SOx), including reviews, updates and governance
• Lead the internal control self-assessment process together with business areas
• Review and evaluate Management Review Controls (MRC) and validate remediation testing
• Work with ITGC teams and other areas to ensure control integration and consistency
• Contribute to area evolution initiatives, process improvements and tool enhancements
• Prepare and review process flowcharts and process narratives

Senior Internal Controls Analyst

Data Scientist

• Atuar como parceiro estratégico das áreas de negócio para identificar oportunidades de uso de dados.
• Traduzir problemas de negócio em soluções analíticas, modelos estatísticos e aplicações de machine learning.
• Estruturar hipóteses analíticas e conduzir análises exploratórias para identificar padrões, tendências e oportunidades.
• Identificar relações de causa e efeito entre variáveis e propor abordagens quantitativas para investigação dessas relações.
• Desenvolver modelos estatísticos, algoritmos de machine learning e soluções analíticas avançadas.
• Aplicar técnicas de otimização e pesquisa operacional para apoiar decisões e melhorar a eficiência de processos.
• Realizar experimentação analítica e testes comparativos entre abordagens para evolução contínua das soluções.
• Estruturar, preparar e transformar grandes volumes de dados provenientes de diferentes fontes.
• Desenvolver pipelines de dados e engenharia de features que garantam reprodutibilidade, escalabilidade e operacionalização de modelos analíticos.
• Trabalhar em conjunto com times de engenharia de dados e MLOps na implementação e monitoramento de soluções em ambiente produtivo.
• Desenvolver visualizações e análises que auxiliem na interpretação de resultados de modelos e na comunicação de insights para áreas de negócio.
• Apresentar resultados, insights e recomendações de forma clara para públicos técnicos e executivos.