• Perform proactive monitoring of clients' transactional environments; • Identify and address incidents, aiming for rapid stabilization of environments; • Log and follow up on activities related to environment management; • Execute environment acceptance procedures; • Conduct contingency tests to ensure operational continuity; • Perform preventive checklists to identify potential failures and risks; • Keep the knowledge base and client documentation up to date; • Work following ITIL best practices and established processes; • Monitor area performance indicators and metrics; • Interact with multidisciplinary teams to ensure service quality.

• Develop, negotiate global study budgets based on the requirements of a study protocol. • Review, draft and negotiate a variety of agreements including confidentiality agreements, master confidentiality agreements, clinical study agreements and amendment agreements • Work with supervisor and various internal/external key stakeholders to resolve/escalate contractual issues • Ensure adherence to company policies, procedures and contracting standards. • Update relevant study team members regarding the status of contract negotiations and execution. • Coordinate execution of agreements • Support the maintenance of contract files and databases, including contract archiving. • Recognize where processes can be improved and take corrective action.

• Evaluate clinical service requests to ensure medically necessary, cost-effective, and evidence-based care for members • Conduct prior authorizations and facilitate care coordination • Support safe transitions across care settings and ensure compliance with regulations • Collaborate with interdisciplinary teams and community providers to promote integrated, high-quality care • Maintain relationships with community providers and service organizations • Ensure compliance with organizational policies and clinical standards • Provide training and mentorship on UM protocols and workflows

• Lead the construction and evolution of advanced AI solutions, ensuring scalability, efficiency and innovation. • Define AI solution architectures with LLMs and advanced RAG (Retrieval-Augmented Generation). • Develop and orchestrate multi-agent systems. • Create and optimize semantic search and embeddings pipelines. • Integrate APIs and tools for intelligent solutions. • Work on strategic projects, connecting technology and business. • Ensure engineering best practices, scalability and observability. • Support technical decisions and work hands-on.