**Description:** Agile development methodologies (Scrum and Kanban) and traditional methodologies (PMBOK); Ability to manage multidisciplinary teams around a strategic agenda of experimentation and innovation; Programming in R or Python for analysis, simulation, and technical validation; Data modeling and data-oriented architecture; Project management and technical documentation tools; Digital transformation strategies and modernization of legacy systems; Management of complex stakeholders and strategic communication with executives; Governance frameworks for experimentation and definition of organizational success metrics; Recommendation and personalization systems based on experimentation (Next Best Action / Offer); Familiarity with automation and AI tools applied to the software development lifecycle; Application architecture and system integration; Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, Information Technology, Software Engineering, Administration with emphasis on Information Systems, or Systems Analysis and Development. Responsible for participating in defining the solution best suited to the client’s business needs and feasible to develop using the adopted technology. Key responsibilities Manage technical and human resources across projects, ensuring alignment among teams and delivery within scope, timeline, and expected quality; Monitor project scope, costs, and timelines (schedule) using agile methodologies (e.g., Scrum and Kanban) and traditional methodologies (PMBOK); Lead executive alignment sessions and influence stakeholders from commercial, product, and technology areas; Drive the evolution of experimentation platforms (offline and online), from discovery through to continuous large-scale operations; Define technical and architectural guidelines for complex systems, ensuring alignment with corporate standards and focus on scalability, security, and interoperability; Gather customer and user requirements and specifications during architecture definition, acting as a bridge between business, product, and technology teams; Collect functional requirements and project specifications, considering system integration; Develop architectural solution proposals aligned with data, AI, and digital product strategies; Conduct detailed technical analysis of proposed solutions, assessing feasibility, risks, and impacts on existing systems; Prepare technical documentation for requirement specifications and project status reports, utilizing modern documentation and project management tools; Develop schedules and test plans for proposed solutions, including integration, performance, and security testing; Oversee testing (system testing, user acceptance testing, and pre-production), ensuring technical quality and compliance; Support resolution of issues and bugs, serving as the technical reference for incident analysis and resolution; Identify potential problems, impacts on models/prototypes, and interconnections with other existing systems, promoting technical governance and risk mitigation; Monitor KPIs related to project delivery and subsequent operations, proposing corrective actions and continuous improvements; Evaluate and decide between internal (build) or market-available (buy) solutions, considering integration with data ecosystems, AI, and digital platforms; Draw inspiration from global benchmarks to ensure speed and quality in solution delivery, enabling dozens of methodologically rigorous experiments per week; Apply automation and artificial intelligence solutions to accelerate processes of specification, development, and technical validation. 2512160202201868428