**Excited to grow your career?** BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. **Learn more about the area:** The Data Engineering unit, under joint responsibility of the Global Head of Data and the Global Head of Engineering, is responsible for defining and deploying the technological strategy regarding technical capabilities, data models, data quality, protection and security, as well as executing data projects for BBVA's global units. To carry out these functions, Data Engineering comprises different disciplines such as Data Modelling \& Development, Data Security, Data Architecture and Architecture Solutions, along with the Global Data Hub, which manages end-to-end data ingestion, quality and operationalization for consumption within Holding domains. Furthermore, Data Engineering is also responsible for developing and operating 'data assets', leading the Machine Learning Engineering discipline. The Strategy \& Performance function within Data Engineering can be summarized into three main blocks: 1\) Participate in Strategic Alignment and ensure the proper deployment of the Engineering and DATA strategy within the area, coordinating, enabling and collaborating on all internal initiatives of the bank's Global Investment Agenda (SDA), executed from both sponsor and executor perspectives; 2\) Execute effective management and coordination of the area's operational and financial BAU; 3\) Monitor and control the area's performance across the two previous blocks through the mechanisms defined by Engineering and Data Holding. The Data Engineering unit, under joint responsibility of the Global Head of Data and the Global Head of Engineering, has the mission to define and deploy the technological strategy. This strategy covers technical capabilities, data models, data quality, protection and security. Additionally, it handles the execution of data projects for BBVA's global units. To achieve its objectives, Data Engineering is structured into several disciplines: Data Modelling \& Development, Data Security, Data Architecture and Architecture Solutions. It also includes the Global Data Hub, responsible for end-to-end data ingestion, quality and operationalization for consumption within Holding domains. Likewise, Data Engineering is responsible for the development and operation of "data assets", leading the Machine Learning Engineering discipline. **About the job:** The Strategy \& Performance function within Data Engineering is structured around three fundamental pillars: * Strategic Alignment and Deployment: Participate in strategic alignment and ensure the correct implementation of the Engineering and DATA strategy within the area. This involves coordinating, enabling and collaborating on all internal initiatives of the bank's Global Investment Agenda (SDA), both from a sponsor and executor perspective. * Operational and Financial Management: Efficiently manage and coordinate the area's operational and financial BAU (Business As Usual). * Performance Monitoring and Control: Monitor and control the area's performance across the two previous pillars, using the mechanisms defined by Engineering and Data Holding. **Job responsibilities** : * Provide strategic support through financial planning and control in coordinating Data Engineering, managing the area's key KPIs. Ensure their proper performance through proactive action plans. * Collaborate with the Head of S\&C Data Engineering to deliver services and ensure strategic alignment within the unit: + Direct responsibility for preparing and monitoring budgets (CAPEX and OPEX), managing deviations and resolving related issues (request submissions, tracking incurred costs, licenses and hosting, FIG lines, etc). + Gathering and analyzing management information to facilitate data-driven decision-making. + Financial analysis and reporting with other units both inside and outside the area. + Optimization of the unit's budgeting, portfolio and staffing processes. * Actively participate in overseeing and collaborating on key Finance projects across various holding areas where Data Engineering contributes. * Support communication processes within the unit and assist in coordinating Wellness \& Engagement initiatives. Provide strategic support through financial planning and control, managing key KPIs of the Data Engineering area and ensuring their proper performance through proactive action plans. * Collaborate with the Head of S\&C Data Engineering to ensure strategic alignment within the unit, including: + Direct responsibility for budget preparation and monitoring (CAPEX and OPEX), deviation management and resolution of related incidents (offers, tracking of incurred costs, licenses and hosting, FIG lines, etc.). + Collection and analysis of management information to support data-driven decision-making. + Financial analysis and reporting with internal and external units. + Optimization of the unit's budgeting, portfolio and staffing processes. * Actively participate in the supervision and collaboration on key Finance projects across various holding areas where Data Engineering collaborates. * Contribute to the unit's communication processes and support the coordination of wellness and engagement initiatives. **Required profile:** * Profile overview: Dynamic and proactive profile with strong potential in planning, financial and strategic analysis, execution and cross-functional interaction, both within and beyond the field of Data Engineering. Strong communication and assertiveness skills with various stakeholders, especially in complex, multi-country and multi-area environments. * English C1 * Required experience: + Experience in management and/or project execution (\>1 year). + Work in integrated projects within multidisciplinary teams. + Knowledge of management processes within a unit of a financial institution (financial analysis, management information, portfolio \& staffing management, capacity planning). + Analytical skills for financial management/metrics/monitoring, supporting data-driven decision-making. Building financial estimation models for financial forecasting. + Knowledge of the Engineering/IT domain, specifically in data analytics and the use of generative AI. Dynamic and proactive profile with significant potential in planning, financial and strategic analysis, execution and cross-functional interaction, both within and beyond the field of Data Engineering. Solid communication and assertiveness skills are required to interact effectively with diverse stakeholders, particularly in complex, multinational and multi-area environments. **Required experience:** * Experience in project management and/or execution (over 1 year). * Participation in integrated projects with multidisciplinary teams. * Knowledge of management processes within a unit of a financial institution (financial analysis, management information, portfolio and staffing management, capacity planning). * Analytical capabilities for financial management, metrics and monitoring, supporting data-driven decision-making. Includes building financial models for financial estimation and forecasting. * Knowledge of the Engineering/IT environment, specifically in the field of data analytics and the use of generative artificial intelligence. **Skills:** Customer Targeting, Empathy, Ethics, Innovation, Proactive Thinking