• Support the design and execution of Talent Management products for the Technology team, such as succession mapping, career acceleration for talent, and management of performance consequences. • Conduct quantitative and qualitative diagnostics of pain points and challenges to build data-driven solutions that deliver value and support the People and Technology strategy. This involves analyzing metrics, speaking with stakeholders, and surveying employees. • Manage governance of current products and processes, including sending agendas, calendar and deadline control, presentation content and copy, defining target audiences, and managing budgets. • Track initiative and project metrics and measure outcomes. • Propose and implement changes and improvements based on results. • Stay up to date on market best practices in Talent Management through benchmarking, study, and experience sharing. • Collaborate on the design and execution of Talent Management initiatives with Tech leaders, HR Business Partners, and corporate HR teams.

• Prospecção Ativa & Social Selling: Identificar e abordar potenciais mentorados (ICPs) através do LinkedIn e Instagram, utilizando estratégias de conteúdo e abordagem direta para gerar conversas. • Qualificação e Diagnóstico: Realizar reuniões de briefing para entender profundamente os gargalos do negócio do lead e validar se ele tem o perfil para nossa mentoria. • Apresentação e Fechamento: Conduzir reuniões de vendas, apresentar a proposta de valor da mentoria, contornar objeções e garantir a assinatura do contrato. • Gestão de Pipeline: Gerenciar todo o seu funil de vendas dentro do CRM (Pipedrive), desde o primeiro contato até o "ganho". • Pós-venda Inicial: Realizar a passagem de bastão para o time de sucesso do cliente, garantindo uma excelente experiência de onboarding.

• Perform cleaning, organization and integration of data from multiple sources; • Develop and maintain data pipelines to feed statistical models and monitoring dashboards; • Lead feature engineering processes; • Apply statistical and machine learning techniques to analyze large volumes of data, identifying relevant patterns and trends; • Develop predictive mathematical/statistical and machine learning models focused on credit risk (PD, EAD, LGD); • Ensure models comply with current regulatory requirements; • Monitor model performance and propose continuous improvements; • Create and track risk, efficiency, and performance indicators for rules and models; • Collaborate with technical and business teams, translating technical concepts for diverse audiences; • Ensure appropriate support for internal and external audits and regulatory authorities; • Share knowledge, promote a risk-aware culture, and exchange experiences in a collaborative environment.

• Investigates to confirm that drug claims are billed and paid correctly • Analyzes claims data and healthcare records, applying specialized knowledge of prescription drugs, provider practices, and health insurance benefit structure • Communicates with healthcare providers and insurers to gather required information • Utilizes all available resources to maximize identification and recovery of overpayments • Answers phone calls in a timely fashion and resolves issues • Creates, maintains, and closes files in accordance with policies and guidelines • Assists with submitting overpaid claims in client vendor management systems, as needed