• Contribute to the production of new medical content, both textual and audiovisual (e.g., videos and podcasts); • Review, test, and approve, together with the editorial team, other types of technical medical materials, such as clinical protocols, prescriptions, calculators, tests/examinations, etc.; • Review outreach and communication content for Afya Whitebook, iClinic, and Portal Afya across communication channels, and occasionally support its creation to ensure it is relevant and coherent from a physician's perspective; • Participate in monthly meetings with the medical and internal content teams.

• Effectively guide a high-performing engineering team • Apply strong problem-solving skills to tackle technical challenges • Provide technical guidance and mentorship to squad members • Work closely with cross-functional teams • Cultivate a culture of learning and development

• Develop and maintain business continuity and disaster recovery plans and procedures. • Conduct risk assessments and business impact analyses. • Coordinate and lead BCP/DR testing exercises; identify gaps and recommend improvements. • Ensure compliance with industry standards and regulatory requirements. • Work with IT and business units to ensure systems and processes are resilient. • Maintain documentation and regularly update business continuity plans. • Provide training and awareness programs across the organization. • Serve as a key contact during actual disruptions or incidents.

• Manage and oversee all activities defining client business data assets in alignment with the Client Data & Analytics Strategy. • Influence and contribute to the client’s Data & Analytics Strategy to drive business outcomes. • Discover and document data and analytics requirements across the enterprise. • Design and implement data models using tools like Visio or Erwin, including dimensional modeling, star schema, snowflake schema, and data vault. • Create mapping documents and coordinate with ETL and testing teams for implementation. • Interact with architects, business stakeholders, and cross-functional teams to gather, validate, and obtain signoffs on requirements. • Manage multiple initiatives and projects from inception to delivery. • Maximize value from data and analytics by surfacing priorities and enhancing decision-making. • Conduct business data modeling and enable enterprise data management. • Ensure the security of data and analytic assets.