- Design Global Onboarding product Ops Strategy, alongside global key stakeholders- Design Efficiency targets and planning, to maximize regional business growth and reduce costs during the Onboarding acquisition process- Create and align risk strategies for Online drivers, based on Onboarding liabilities - Focus on business continuity- People management, Regional expertise localizationScope: +14 countries - IBGAll product lines

- Design product strategy and acquisition operations for Onboarding process (Drivers)- Define AntiFraud policies, and strategies to mitigate liabilities from all users- Build and strengthen a team, seeking to build sharp member for different stakeholders and Latin American Scope- Create, discuss and align both AntiFraud and Onboarding product Ops Roadmap- Follow OKRs and KPIs metrics, to design data-driven strategyCross functional and cross cultural people management

• Cross-functional coordination and deployment for roadmap, execution of projects, funnel improvement, new product launches and business product alignment• Ensure business continuity while creating opportunities to improve experience in funnel, potentiate efficiencies in both costs efficiency and tech performance• E2E management for OnBoarding process, for all product lines, considering data, improvements, liabilities and general performance• Align strategies with regional and HQ teams, to guarantee key projects rollout and identify new synergies for improvement• New products launches coordinator for OnBoarding requirements

• Manage strategic decisions for LATAM based on data, in order to generate decisions that positively impact business and Safety. Creation of local strategies and monitoring of them.• Develops tools that favors the collection and understanding of data, in order to support strategies, policies and decisions for Safety direction.• Constant synergy with HQ and stakeholders such as the International Group through best practices, creation of Dashboards and support in decision-making involving other areas and directions.

Machine Learning

Computing for Economists I

R Programming

• Both Quantitatives and Qualitatives solutions and insigths to provide new methods and solutions to the client, forecasting, adapting and processing information• Function and tech analysis for business needs

• Design Roadmaps and KPIs for Use Cases to guarantee successful deployment and performance• Use cases - Project Manager: Centralize strategies to generate aggregated value (Business, Engineering).• E2E leader for data transformation processes from local systems to BBVA’s cloud

• Knowledge in programming and statistical tools such as RStudio, Python for solving problems.• To apply statistics for develop and deploy of models such as knn, perceptron, neural networks, lineal and logit regression, so as Clustering methods• To follow up to analytical projects and projects management

• To support at evaluation methodologies for national budget• To follow up to national indicators of public investment projects• To apply ArcGis for deploy georefencial analysis