We are searching for a **Lead Data Analyst** to spearhead a GenAI Proof of Concept (POC) for our client's Career Journey initiative. This position will provide strategic oversight and expert insight into personalization features and recommendations, with a strong emphasis on advanced data preparation for AI applications. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Drive collaboration with stakeholders to define and refine the scope and long\-term objectives of the GenAI Proof of Concept * Guide the development of advanced analytical insights to enhance career journey recommendations and personalization strategies * Architect and oversee scalable ETL processes to ensure readiness of data for AI and Machine Learning deployment * Develop and optimize solutions using Retrieval\-Augmented Generation, applying advanced methodologies for personalized recommendations * Lead the strategy and execution of Prompt Engineering practices to maximize input\-output optimization for GenAI * Collaborate across diverse teams to synthesize and interpret complex insights from certifications, content, and other data sources * Establish and maintain documentation standards for analytical processes to ensure a scalable knowledge base * Deliver in\-depth presentations and actionable recommendations to executives and client leadership * Proactively monitor and incorporate GenAI trends to ensure innovative and impactful application of industry best practices **Requirements** * 5\+ years of experience in Data Science and Analytics * At least 1 year of relevant leadership experience * Proven expertise in Data Software Engineering, Gen AI Application Development, and advanced Prompt Engineering techniques * Demonstrated experience in conceptualizing and implementing robust ETL frameworks tailored for AI\-driven solutions * Extensive knowledge of Retrieval\-Augmented Generation and its practical applications in state\-of\-the\-art AI models * Deep expertise in analyzing and leveraging certification and content\-based data for strategic decision\-making * Exceptional skills in stakeholder management and communicating complex analytical insights to leadership * Analytical problem\-solving mindset with a track record of resolving data challenges on large\-scale projects * Excellent command of written and spoken English (B2\+ level) **Nice to have** * Advanced expertise in Natural Language Processing, including implementation of NLP frameworks in AI systems * Experience integrating NLP techniques into sophisticated recommendation models and personalization solutions * Proficiency in cutting\-edge NLP methodologies to enhance scalable AI applications **We offer** * Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*