Data Science Manager

We are hiring for Senior Manager -- Data Scientist for our client in technology and data space.. As part of Knowledge Data & Analytics team, the candidate will play a key leadership role in delivering AI, GenAI, and advanced analytics solutions across teams. They will operate both as a hands-on technical expert and as a people leader, shaping our AI and analytics capabilities while managing a team of data analysts, engineers, and data scientists to deliver high-impact outcomes

Exp : 10-14yrs

Location : Gurgaon

Tech Stack : Python, Snowflake, SQL, and AWS services, AIML, data analysts, engineers, and data scientists

Job Description

• 10+ years of experience in Data & Analytics, with demonstrated leadership across data engineering, data science, and AI-driven analytics.
• Expert-level proficiency in Python, with hands-on experience building, optimizing, and automating large-scale data workflows and pipelines.
• Deep expertise in Snowflake, SQL, and AWS services (Glue, Lambda, S3), including architecture design, API integration, performance tuning, and governance best practices.
• Strong understanding of data architecture principles — including dimensional modeling, schema design, data quality management, and real-time/batch data processing.
• Hands-on exposure to AI and GenAI technologies, such as OpenAI APIs, LangChain, and agentic AI systems, applied to real-world analytics and knowledge use cases.
• Ability to design and implement AI-enhanced data solutions integrating large language models (LLMs) and retrieval-augmented generation (RAG) techniques, leveraging AI for data enrichment, anomaly detection, and automated insights or reporting.
• Familiarity with data visualization and BI tools (e.g., Tableau, Power BI); certifications are advantageous but not mandatory.
• Experience leading and developing teams within an Agile (Scrum) delivery model, fostering collaboration, ownership, and innovation.
• Strategic and systems thinking, with the ability to connect technical execution to organizational priorities and long-term value creation.
• Excellent communication and stakeholder management skills, with the ability to influence through insight, data storytelling, and technical credibility.