Global Data Science Senior Manager – Chapter Lead

BCG BCG · Consulting · Gurgaon, Haryana, India · Data Science and Analytics

Senior Manager for BCG's Knowledge Data & Analytics team, focusing on delivering AI, GenAI, and advanced analytics solutions. The role involves leading teams of data analysts, engineers, and data scientists, operating as both a technical expert and people leader. Responsibilities include designing and implementing AI-driven analytics, architecting data pipelines, and establishing best practices for model development and ethical AI.

What you'd actually do

  1. 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).
  2. 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.
  3. Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making.
  4. Develop reusable, modular, and efficient solutions to enable large-scale data transformation, integration, and automation workflows.
  5. Work across Data & Analytics teams to drive capability development, best-practice sharing, and a culture of technical excellence across teams.

Skills

Required

  • Python
  • SQL
  • Snowflake
  • AWS Glue
  • AWS Lambda
  • OpenAI APIs
  • LangChain
  • Agentic AI frameworks
  • Data Engineering
  • Machine Learning
  • Generative AI
  • Prompt Engineering
  • Data Architecture
  • Data Pipelines
  • Agile methodologies
  • Stakeholder Management
  • Team Leadership

Nice to have

  • Tableau
  • Power BI
  • RAG
  • LLMs

What the JD emphasized

  • key leadership
  • hands-on technical expert
  • people leader
  • 10+ years of experience
  • Expert-level proficiency in Python
  • Deep expertise in Snowflake, SQL, and AWS services
  • Strong understanding of data architecture principles
  • Hands-on exposure to AI and GenAI technologies
  • Ability to design and implement AI-enhanced data solutions
  • Experience leading and developing teams
  • Strategic and systems thinking
  • Excellent communication and stakeholder management skills
  • Leading and inspiring technical teams
  • Bridging strategy and execution
  • Applying deep technical expertise

Other signals

  • Lead and develop high-performing teams
  • Design and implement AI-driven analytics solutions
  • Architect scalable data pipelines and foundations
  • Hands-on exposure to AI and GenAI technologies
  • Ability to design and implement AI-enhanced data solutions