Felipe Silva

Currently leading the Sales Digital Platforms area, responsible for platform engineering, product management, UX, and data. Focused on building scalable and resilient omnichannel solutions that integrate physical stores and e-commerce, delivering seamless customer journeys and supporting business growth.

IT Director – Business & Financial Services Technology (Jul 2023 – Oct 2024) Oversaw 10 squads (150+ professionals) across payments, credit, sales services, pricing, freight, assortment, and marketplace, driving modernization and business efficiency. • Modernized 10 legacy systems, migrating critical services from mainframe to modern architectures. • Launched Brazil's first retail FIDC, boosting credit share and increasing CDC sales (+2 p.p. online, +4 p.p. in stores) through improved credit models and customer experience. • Doubled Cartões Casas Bahia customers via digital onboarding with facial recognition and real-time credit evaluation. • Achieved record approval rates (+5 p.p.) with new payment integrations, reducing costs by 50%. • Implemented assortment and pricing optimization, raising margins by 5 p.p. • Enhanced freight capabilities, increasing freight revenue by 10%. IT Director – Marketplace Technology (Apr 2022 – Jul 2023) Led the Marketplace Technology area, managing 12 squads (130+ professionals) across product management, UX, and engineering, with a focus on scalability and operational excellence. • Led strategic migration of legacy systems to modern architectures, including the migration of 70% of on-premise applications to the cloud. • Achieved marketplace operational breakeven, ensuring long-term business sustainability. • Improved Seller Net Promoter Score (NPS) by 8x through technology-driven enhancements. • Reduced team turnover from 30% to 6%, fostering a culture of engagement and retention

In this role, I took charge of software development teams focused on cost reduction with optmization, AI and statistical methodologies at Mercado Envios. These teams were distributed across Argentina and Brazil. Key Achievements: Successfully introduced over 6 new software initiatives to the company, resulting in significant reductions in operational and shipping costs. My leadership and expertise in software development contributed to driving innovative solutions that optimally aligned with the strategic objectives of Mercado Envios. Through collaborative efforts across international teams, we consistently delivered high-impact results that enhanced operational efficiency and cost-effectiveness.

Head of multidisciplinary team (data engineers, data scientists, software architects, programmers, business analysts) with the goal to delivery the best freight experience. Head of supply chain optimization team with focus in building models and strategy to optimize transportation network, stocks, assortment allocation, taxes, network design, routing and others. Head of BI squad, managing the main kpi's of operations team (sac, freight, logistic, transportation, orders, etc). Tech Lead of O2O initiatives.

Head of innovation and tecnology team (data scientist, softwares engineers, business analysts, etc). Managgment of data science projects with focus in supply chain optimization (logistic, route problems, greenfield, stocks) , marketing optimization (CRM, marketing investment, recommendation) and product engineering projects. Manager of architeture and software development team that create new plataforms to support high scalability systems, pipeline data, big data and mathematical modeling. Responsable to partnerships with universities (MIT, Chicago University, Unicamp, etc) in data science and big data projects.

Leadership in data science projects. Responsible for architecture, infrastructure, and implementation of methods and tools to making decision projects. Manager of many projects using machine learning and optimization due to create insights in supply chain and commercial areas applying methods of linear and non linear optimization, random forest, temporal series, regression, svm and others. Participation in inniciatives in big data using cloudera environment. Creating and managemeting of data pipeline in relation to integrate datas of relational databases and nosql databases with focus in analytics projects. Responsable to define architecture to data science projetcs using graph databases (titan, neo4j and others), non-sql databases (cassandra, solr), web services (rest, java, python) and bi (qlikview, tableau, superset, metabase) Responsable to spread data science and analytics culture in company contributing with training, courses, partnership with universities and structuring of selection process in profile definition, applicant evalute, tests development and tecnical interview.

Leadership in the implementation of projects for decision-making tools, Advanced Scheduling Planning (APS) (profit of $ 2.5 million a month), operational planning (S&OP), strategy planning (studies of Logistics Network, Greenfield, Foot Print), planning and pricing of logistics operations, applied to national and multinational companies of Consulting, Food, Agribusiness, Milk and Logistic Operators. Responsible for implementation and maintenance of new mathematical models in optimization, data mining and statistics. Management of customer services using the main products of the company.

Responsible for assistance, consulting and training of optimization tools in operational and strategical planning (S&OP) in multinational food companies. Development of optimization models using heuristics and integer linear program in problems of: employee’s timetable, transportation management, production scheduling and shipment and statistical models for demand forecast. Elaboration and architecture of mathematical models in software optimization of operational and strategical planning in agribusiness and milk industry. Responsible for testing and documenting the company’s main software.

Development of interfaces to data integration accountancy in system of different languages. Elaboration of software in Java language to calculate taxes in the financial market. Implementation of software in Java language to KPI management in accountancy and technology companies, in all development stages using statistical models.

Scientific development in linear program, mix integer linear program, heuristics and meta-heuristics applied in problem of logistic and scheduling. Development of research in areas of non-linear program, data mining and mathematics applied in finances.

Dissertation: “The application of scheduling in the industry”. Research applied in operational planning (3 to 5 days) in one of biggest bakery companies.

Development of scientific projects in abstract algebra. Development of scientific projects in mathematical modeling using integer linear program to problems of scheduling with labor, shifts and equipment constraints in the plastics industry order to increase the profit.