Data Product Manager

Role Overview: Are you ready to be a part of an exciting journey with L'Oral, the world's leading beauty player, dedicated to fulfilling beauty aspirations globally As a Data Product Manager in the Beauty Tech division, you will play a crucial role in driving data-driven decisions and delivering innovative customer experiences through data engineering, machine learning, and advanced analytics. Key Responsibilities: - Define and champion the technology vision, strategy, and roadmap for data analytics products & use cases, including Dashboards, Reports, and complex data products with machine learning and Generative AI integration. - Collaborate with stakeholders across business units to gather and analyze requirements, translating user needs into detailed product specifications. - Oversee the product lifecycle from ideation to launch, ensuring timely and efficient delivery of high-quality products by working closely with data engineering, design, and QA teams. - Manage the current data platform for consistency in performance, run mode, and necessary updates on a day-to-day basis. - Ensure alignment by communicating product updates, roadmap changes, and strategic decisions to key stakeholders, fostering collaboration and driving product success. - Leverage data analysis to track product performance, measure key metrics, and identify areas for continuous improvement. - Possess a solid understanding of machine learning concepts, algorithms, and applications to guide the development of ML-powered products. Qualification Required: - Bachelor's degree in computer science, Engineering, Business, Statistics, or a related field. Master's degree preferred. - 8+ years of product management experience focused on data analytics, business intelligence, or machine learning products. - Proven track record of launching and managing data-driven products within cloud environments, specifically GCP (BigQuery, Data Studio, BQML, SQL, PowerBI). - Exceptional analytical, problem-solving, communication, presentation, and interpersonal skills. - Strong understanding of machine learning concepts, algorithms, and their application within the GCP AI/ML ecosystem. - Experience with Agile development methodologies. - A passion for the beauty and cosmetics industry.,