About the Role The Senior Manager/Director - Data Science manages multiple teams of data scientists and ML engineers, with direct and indirect managerial responsibility. This role is fundamental to the growth of the AI & Data Science organization, establishing the technical rigor, culture, and operating rhythm needed to deliver business outcomes. The ideal candidate has in-depth knowledge across Computer Vision, NLP, and Deep Learning, including problems such as image classification, object detection, search, recommendation, and language models. Key Responsibilities • Manage multiple teams of data scientists and ML engineers, with direct and indirect managerial responsibilities. • Work with local and global management across org partners to ensure the success and business outcomes of assigned teams. • Oversee the deployment and maintenance of machine learning models, AI & LLM-based solutions, and data pipelines in production. • Establish and enforce rigorous quality assurance processes to maintain the integrity and accuracy of deliverables. • Act as a subject matter expert on data science topics, providing guidance to internal teams. • Design large-scale AI/ML systems end-to-end in a fast-paced environment. • Lead initiatives in core data science, including statistical modeling, machine learning, data mining, and experimental design. • Identify areas of improvement in existing solutions. Key Skills • 10+ years of overall experience, with 5+ years working in Data Science, AI, deep learning, and statistics. • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. • Strong experience in statistical analysis, Machine Learning, and Deep Learning, particularly Computer Vision, NLP, and LLMs. • Proven track record leading AI teams and shipping production-scale systems. • Strong problem-solving skills and the ability to translate business requirements into analytical solutions. • Proven track record building high-performance teams. • Outstanding verbal and written communication skills. Good to Have • Experience conducting iterative experiments that demonstrate incremental lift in business metrics from AI/ML initiatives. • Passion for staying updated with the latest advancements in AI, deep learning, and generative AI. • Experience leading research initiatives to explore new methodologies, tools, and technologies.