Data Science Manager

We are hiring for Data Science Senior Manager for a leading client based in Gurugram location

Exp : 11-15yrs

Tech Stack :70%hands (technical side)+Data science+AI+SQL+AWS

Mode: Hybrid

Roles and responsibilities

• Lead and develop high-performing teams in designing, building, and scaling robust data engineering and backend systems using Python, SQL, and modern data platforms (e.g., Snowflake, AWS Glue, Lambda).
• Design and implement AI-driven analytics solutions, apply advanced machine learning and GenAI techniques such as prompt engineering, LangChain integration, and agentic AI frameworks leveraging OpenAI and similar platforms.
• Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making.
• Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives.

Job Responsibilties

• Leading and inspiring technical teams you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts.
• Bridging strategy and execution you can define data and AI vision while remaining hands-on in technical delivery, ensuring that architecture and solutions meet real business needs.
• Applying deep technical expertise you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands-on experience in prompt engineering and retrieval-augmented generation (RAG) techniques.
• Designing and scaling AI solutions you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices.
• Designing for scalability and performance youre experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise-grade analytics.
• Driving innovation and continuous improvement you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency.
• Simplifying complexity you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders.
• Collaborating across disciplines you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives.
• Coaching and capability building youre passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning.
• Operating with agility and structure you thrive in fast-paced, evolving environments, using agile principles to balance innovation with disciplined delivery.