Afya

Risk

• Define, evolve and ensure the application of the company's Data Governance model;
• Orchestrate governance roles and responsibilities, ensuring effective performance by data owners and data stewards;
• Lead metadata management initiatives, ensuring data quality, consistency and traceability (catalog, glossary and lineage);
• Establish and monitor data quality indicators, supporting technical and business areas in prioritizing and resolving issues;
• Act as the governance focal point for privacy, LGPD, data classification and ethical use of information, in partnership with privacy and security areas;
• Ensure appropriate governance in Self-Service BI environments, balancing analytical autonomy, standardization and control;
• Guide and develop junior and mid-level analysts, promoting technical growth and governance best practices;
• Contribute to awareness programs and a data-driven culture, focusing on responsible and strategic use of information;
• Support the application of governance principles in advanced data and AI use initiatives, ensuring quality, transparency, explainability and responsible use of information throughout the data lifecycle.

Senior Data Governance Analyst

Data Analyst

• Act as a decision partner, structuring problems and directing where to focus based on data;
• Define hypotheses and strategic questions, going beyond initial requests to arrive at relevant decisions;
• Design and evaluate experiments, ensuring clear metrics, success criteria, and statistical rigor;
• Apply causality methods, distinguishing correlation from real impact to support decisions;
• Produce actionable analyses, connecting data to strategy and avoiding deliverables without practical impact;
• Build dashboards and visualizations oriented toward decision-making;
• Translate complex analyses into clear, objective recommendations for different audiences;
• Influence stakeholders based on data, fostering technical discussions and data-backed decisions;
• Raise the analytical level of squads, spreading best practices and strengthening the data-driven culture;
• Connect product metrics (funnel, retention, engagement) to business levers.

Analista de Dados Sênior

Customer Support

• Monitor performance indicators for the area (collections, retention, and operational efficiency);
• Analyze portfolio scenarios and behavior (cohorts/vintages, aging, student profiles);
• Identify opportunities and risks based on operational data analysis;
• Support goal-setting and ensure continuous monitoring of results;
• Build targeted analyses to support decision-making by leadership;
• Develop and propose segmented strategies to improve performance;
• Monitor the effectiveness of implemented actions, suggesting adjustments when necessary;
• Organize and structure information clearly to support operations;
• Drive process improvements to increase efficiency and predictability.

Senior Customer Experience Analyst

Product Marketing

• Develop and update Product Marketing materials such as presentations, one-pagers, and commercial proposals;
• Support the creation of pitch decks and product storytelling, ensuring clarity and message consistency;
• Execute go-to-market (GTM) plans, coordinating timelines, campaigns, and deliverables;
• Support alignment between Marketing and Sales, ensuring execution within deadlines;
• Contribute to sales enablement initiatives by creating materials for each stage of the funnel and keeping playbooks up to date;
• Support training and enablement for the commercial team on products and offerings;
• Organize and document the product and offering portfolio, ensuring standardization and clarity of information;
• Track campaign and launch metrics, consolidating performance data (engagement, conversion, material usage);
• Generate insights for continuous improvement of GTM strategies;
• Work collaboratively with Product, Marketing, Sales, and Content teams to ensure alignment and smooth delivery.

Product Marketing Analyst (Mid-level)

Outside Sales

• Liderar e desenvolver o time de representantes de vendas externas (field sales), promovendo uma cultura de alta performance e foco em resultados.
• Elaborar e executar estratégias comerciais para aumento de share, penetração de mercado e fidelização de clientes.
• Acompanhar indicadores de performance (KPIs), propondo planos de ação para melhoria contínua dos resultados.
• Realizar visitas de campo com o time, apoiando no fechamento de negócios e desenvolvimento de oportunidades.
• Garantir a correta execução do funil de vendas e uso das ferramentas de CRM.
• Trabalhar de forma colaborativa com outras áreas (Marketing, Produto, Customer Success, etc.) para garantir o alinhamento estratégico e operacional.
• Analisar dados de mercado e concorrência, contribuindo com insights para ajustes de estratégia comercial.
• Participar da definição de metas, políticas comerciais e processos de vendas.

Gerente Comercial – Field Sales

Full-stack Engineer

• Design, develop, and scale AI agents in production, ensuring performance, reliability, and low latency
• Build and evolve agent infrastructure (harnesses, orchestration, context and state management)
• Architect solutions for multi-agent systems and integration with different tools and data sources
• Develop APIs and backend services (e.g., FastAPI/Python) to support intelligent applications
• Integrate new data sources and external services (e.g., medical APIs, clinical databases such as PubMed)
• Ensure clinical accuracy, safety, and regulatory compliance through testing and verification mechanisms
• Implement observability practices (tracing, metrics, logs, and alerts) for production monitoring
• Work on performance optimization (latency, throughput, scalability) of the systems
• Rapidly prototype new solutions and validate hypotheses before scaling to production
• Collaborate with Product and Data Science teams to define solutions and quality metrics
• Conduct and participate in code reviews, promoting code quality and the team’s technical growth
• Provide technical support to other engineers through mentorship and architectural discussions
• Document technical decisions (e.g., ADRs) and contribute to the continuous improvement of engineering practices
• Conduct management rituals (1:1s, continuous feedback, performance review cycles, and individual development)
• Define and track team goals, connecting technical deliveries to the business’s strategic objectives
• Contribute to building and evolving the team, supporting career plans and technical and behavioral development
• Identify capacity gaps and support hiring processes together with Talent Acquisition
• Promote an engineering culture based on quality, collaboration, ownership, and continuous improvement
• Ensure proper allocation of people to projects, balancing operational efficiency and individual development
• Mediate conflicts and facilitate communication between technical and non-technical stakeholders
• Act as a bridge between strategy and execution, translating leadership direction into clear plans for the team

Software Engineering Coordinator – AI

• Coordinate the area's strategic planning by analyzing our target audience (physicians), monitoring KPIs and each business consultant's daily visits;
• Define performance indicators for the area, analyze results using BI reports, and guide the team in developing action plans to reverse underperforming indicators;
• Build the action calendar for brand activation focusing on lead generation and enrollments at the end of the process;
• Manage the team through daily meetings, ensuring everyone is familiar with our products, company targets and objectives, as well as current campaigns;
• Act as a facilitator for the team's requests, interfacing with other areas when necessary to support management of their portfolios;
• Ensure the development of the employees under your responsibility through the use of people management tools;
• Act in compliance with legal requirements and internal policies by actively participating in trainings and reporting potential deviations. Safeguard confidential information in accordance with Afya's Code of Ethics;
• Ensure the application of quality management in the area under your responsibility by using and promoting quality management tools;
• Ensure planning and budget compliance for the area under your responsibility by managing budgeted vs. actual results.

Commercial Coordinator – Field Sales

Data Scientist

• Collect, process, and analyze large volumes of structured and unstructured data;
• Develop statistical and machine learning models for forecasting and classification;
• Create dashboards and reports to track business metrics;
• Partner with business teams to identify data-driven opportunities;
• Implement and monitor models in production;
• Ensure data quality and governance;
• Explore new techniques and tools for data analysis and AI.

Mid-level Data Scientist

Auditor

• Support the execution of process and financial audits under the supervision of more experienced auditors;
• Map processes, identify risks and controls, and assist in assessing their effectiveness;
• Perform audit tests (control design tests and operational effectiveness tests);
• Analyze financial, accounting and operational data to identify deviations, inconsistencies or improvement opportunities;
• Assist in preparing working papers, audit reports and result presentations;
• Contribute to monitoring action plans arising from audits;
• Support activities related to compliance, governance and internal controls;
• Maintain appropriate communication with audited areas, always with a professional and collaborative attitude.

Auditor Interno – Júnior

Designer

• Supervise and mentor the UX team, fostering a collaborative environment and continuous learning;
• Define clear goals and work guidelines for the team, ensuring alignment with product and company objectives;
• Develop and communicate a strategic vision for the user experience across the company's digital products;
• Collaborate with stakeholders to understand user needs and translate them into effective design solutions;
• Promote a culture of continuous improvement within the UX team, encouraging experimentation and learning, identifying opportunities for improvement, and proposing initiatives;
• Lead the UX design process from research and analysis through prototyping and usability testing;
• Ensure user-centered design principles are applied at all stages of product development;
• Collaborate with visual design and development teams to ensure consistency and technical feasibility of proposed design solutions;
• Regularly evaluate UX design processes and practices, identifying opportunities for optimization and efficiency;
• Stay up to date on UX design trends and best practices, sharing knowledge with the team and applying it to projects.

Product Design Coordinator

• Structure, monitor and optimize end-to-end communication flows;
• Ensure alignment between content, timing and stages of the customer journey;
• Ensure consistency of tone of voice across different products and channels;
• Support product launches, editorial planning, campaigns and continuous improvement initiatives.

Customer Experience Supervisor – Communications

• Supervisionar a equipe de orientadores de estudos, oferecendo acompanhamento, feedback e desenvolvimento contínuo;
• Garantir a qualidade do atendimento aos alunos, promovendo práticas alinhadas à metodologia pedagógica dos programas;
• Desenvolver e implementar estratégias de orientação que aprimorem hábitos de estudo, gestão do tempo e organização acadêmica;
• Monitorar indicadores de desempenho da área, propondo ações de melhoria contínua;
• Realizar reuniões periódicas com a equipe para alinhamento de metas, processos e boas práticas;
• Atuar de forma colaborativa com outras áreas (coordenação pedagógica, marketing, comercial, etc.) para integrar ações;
• Conduzir treinamentos e capacitações internas relacionadas a técnicas e métodos de estudo;
• Mediar situações complexas envolvendo alunos e famílias, garantindo comunicação acolhedora e eficiente;
• Contribuir para a construção de um ambiente positivo, motivador e centrado no desenvolvimento do alunos do programa.

Supervisor de Customer Experience – Área de Orientação de Estudos

Backend Engineer

• Develop and maintain backend services using modern technologies (e.g., Python, Go, or Node.js);
• Build distributed systems using messaging (Kafka, RabbitMQ) and microservices architecture;
• Provide technical leadership on critical projects, ensuring solution quality, performance, and resilience;
• Actively participate in technical rituals such as code reviews and architecture discussions;
• Design and evolve scalable, sustainable architectures, balancing performance, cost, security, and availability trade-offs;
• Work on projects with multiple integrations (external APIs, legacy systems, billing, authentication, etc.);
• Collaborate with Product teams to make technical decisions and define solutions;
• Ensure engineering best practices, including automated testing, observability, and continuous deployment;
• Operate in high-availability, mission-critical environments.