ResponsibilitiesDevelopment of client-centric analytics capabilities across all Global Markets asset classes, creating a unified view of client activity, behavior, profitability and engagementImplementation of advanced analytics models for sales and client management, including customer lifetime value (CLV), client profitability, propensity models, next‑best‑action recommendations, churn prediction and cross‑sell opportunitiesDesign and deployment of client segmentation frameworks based on behavioral, commercial and transactional dataDevelopment of business intelligence solutions, dashboards and management reporting to support commercial strategy, client coverage and business performance monitoringIntegration of analytics and AI models into CRM platforms such as Salesforce to enhance sales workflows, campaign management and relationship management processesDeployment of agentic AI solutions and intelligent assistants to support sales teams, relationship managers and management functionsIdentification and implementation of AI productivity and efficiency tools across Integral Markets, including the adoption of technologies such as ChatGPT and other generative AI platformsCollaboration with sales, trading, management, technology and data teams to identify business opportunities and translate them into scalable analytical and AI solutionsDay‑to‑day engagement with senior stakeholders to understand business objectives, communicate analytical insights and drive adoption of data‑driven decision makingRequirementsA Master's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Marketing Analytics,



Data Science or a related quantitative discipline.A PhD will be valued7+ years of experience in advanced analytics, marketing analytics, customer analytics, data science or AI roles within financial services or a similarly data‑intensive industryProven experience leading analytical initiatives focused on client behavior, commercial effectiveness and customer value optimizationStrong knowledge of customer analytics methodologies, including customer lifetime value, propensity modeling, segmentation, targeting, recommendation systems and campaign analyticsStrong business intelligence and data visualization capabilities, with experience delivering executive‑level reporting and decision‑support toolsExperience working with CRM platforms, particularly Salesforce, including the integration of analytics, AI models and workflow automation capabilitiesKnowledge of agentic AI frameworks, AI copilots and intelligent workflow automation solutions within CRM or commercial environmentsStrong programming skills in Python and practical experience with modern machine learning and AI frameworksPractical knowledge of cloud and big data technologies, data engineering concepts and modern analytics architecturesExperience building generative AI and agentic AI applications and deploying them in business environmentsStrong communication and stakeholder‑management skills, with the ability to translate analytical concepts into business impactEntrepreneurial mindset and ability to drive change in a fast‑paced environmentGood English level. Spanish is valuable but optional; we welcome international applicationsThe ability to work under pressure, manage multiple priorities and engage effectively with senior business stakeholders.#J-18808-Ljbffr

📌 Vice President – Cross Analytics Global Markets (Madrid)
🏢 Bbva
📍 Madrid