Description: So, what do you need to have? * Executive Leadership: Proven experience leading large-scale data and technology organizations, with the ability to manage budget and influence senior stakeholders. * Product and Business Vision: Ability to connect technical solutions (LLMs, Modeling) with solving real business pain points. * Technical Expertise at Scale: Deep knowledge of cloud-based solution architecture (with emphasis on AWS) and modern data platform design (Lakehouse, Streaming, etc.). * Advanced AI Expertise: Solid hands-on experience across the full Data Science and Machine Learning lifecycle (Regression, Clustering, Deep Learning), with current focus on LLMs, RAG, and AI Agents. * Change Management: Ability to foster a Data-Driven and AI-First culture across non-technical departments. * Communication: Advanced/Fluent English (mandatory for global collaboration and access to cutting-edge innovations). If you want to lead our organization’s digital and strategic transformation, this is your opportunity. As Director of Data & AI, you will be responsible for defining and executing the data and artificial intelligence strategy, ensuring that technology serves not merely as support but as a driver of innovation and competitive advantage for the business. On a day-to-day basis, you will: * Define Strategic Vision: Establish the long-term roadmap for Data and AI, aligning technical initiatives with overarching business objectives. * Lead Leadership Teams: Manage and mentor managers (GPMs, Managers) across Data Platform, ML Engineering, and AI teams, fostering a high-performance and innovative culture. * Architecture and Scalability: Oversee the evolution of platforms (Data, ML, and AI), ensuring architectural decisions prioritize scalability, security, governance, and cost efficiency. * Democratization and Governance: Build not only data consumption capabilities but also enterprise-wide data governance, ensuring data quality, privacy, and accessibility across the organization. * Drive GenAI and Innovation: Lead the adoption of Generative and Predictive AI, identifying high-ROI use cases and ensuring ethical and responsible AI usage. * Executive Partnership: Serve as a strategic partner to C-Level executives and VPs, translating technical complexity into business value and identifying new revenue streams or operational efficiencies enabled by data. 2512190202551926935