Global Data Science Senior Manager at BCG | India

Global Data Science Senior Manager at BCG | India

If you are an experienced data science professional looking for a leadership opportunity that combines advanced AI with hands-on technical work, the Global Data Science Senior Manager – Chapter Lead position at Boston Consulting Group (BCG) could be worth exploring. This opportunity is listed for Gurugram and Bengaluru, India, and is aimed at professionals with substantial experience across artificial intelligence, machine learning, advanced analytics, and enterprise data science.

What makes this role particularly interesting is its combination of technical depth and people leadership. Rather than being limited to management responsibilities, the position involves contributing directly to data science, GenAI, large language model (LLM), and agent-based initiatives. At the same time, the successful candidate will mentor team members and work with senior stakeholders to turn complex business requirements into practical AI solutions.

The Global Data Science Senior Manager – Chapter Lead at BCG is therefore suited to professionals who enjoy solving challenging business problems while remaining close to the technology. Experience with Python, machine learning, NLP, GenAI, RAG, cloud platforms, and scalable AI delivery can be particularly valuable for this position.

Job ID: 58118
Locations: Gurugram and Bengaluru, India
Category: Data Science and Analytics

Job Overview

Job Detail	Information
Company	Boston Consulting Group (BCG)
Position	Global Data Science Senior Manager – Chapter Lead
Job ID	58118
Location	Gurugram / Bengaluru, India
Category	Data Science and Analytics
Employment Type	Not specified in the provided posting
Experience	7–12 years
Education	Not specifically stated
Primary Technology	Python, Machine Learning, AI, GenAI, LLMs
Cloud Exposure	AWS, GCP, Azure
Application	Official BCG Careers website

About Boston Consulting Group

Boston Consulting Group is a global management consulting organization that works with businesses, institutions, and other organizations on complex strategic and operational challenges. Since its founding in 1963, BCG has expanded beyond traditional strategy consulting into areas such as digital transformation, technology, data, artificial intelligence, and innovation.

The company's work increasingly brings together business strategy and technical capabilities. That makes data and AI professionals important contributors to projects involving analytics, automation, decision-making, organizational transformation, and new technology adoption.

For candidates interested in international collaboration, BCG's global operating model can provide exposure to colleagues and stakeholders across different functions, industries, and regions. This particular position sits within the firm's data and analytics environment, where technical teams support business functions through data-driven solutions.

Key Responsibilities

The Global Data Science Senior Manager role combines individual contribution, technical leadership, and team development.

1. Build and deploy data science solutions

The role involves using Python and modern data science techniques to develop models that address practical enterprise problems. Candidates should be comfortable taking projects beyond experimentation and toward usable, production-oriented solutions.

2. Apply machine learning and statistical methods

Professionals will work with techniques such as regression, classification, predictive analytics, NLP, and other machine learning approaches. The ability to select an appropriate methodology based on the business problem is important.

3. Contribute to GenAI, LLM, and agent initiatives

The position has a strong AI component. Candidates may work on applications involving large language models, retrieval-augmented generation, prompt engineering, and AI agents. Practical experience is more valuable than purely theoretical knowledge.

4. Translate business requirements into AI solutions

Senior data science professionals must understand what the business is trying to accomplish before selecting a technical approach. This role requires converting business challenges into scalable solution designs and realistic delivery plans.

5. Work with cross-functional teams

Successful projects often involve data engineers, analysts, product professionals, technology specialists, and business leaders. The role requires collaboration across these disciplines to move ideas from concept to implementation.

6. Mentor and develop data science talent

As a chapter leadership position, mentoring is an important element. The successful candidate is expected to support less-experienced professionals, encourage technical best practices, and help strengthen the team's capabilities.

7. Engage senior stakeholders

The ability to explain technical findings in business-friendly language is essential. The role requires professionals who can discuss analytical approaches, limitations, opportunities, and expected outcomes with senior decision-makers.

Required Skills

Technical Skills

Applicants should ideally have strong experience with:

• Python for data science and analytical problem-solving
• Machine learning and statistical modeling
• Predictive analytics and NLP
• Generative AI and LLM applications
• AI agents and agentic solutions
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• Enterprise-scale model development and deployment
• Data visualization
• Scalable data and AI architectures
• MLOps and production AI practices

Soft Skills

The position also calls for strong interpersonal abilities, including:

• Strategic thinking
• Clear communication
• Stakeholder management
• Team leadership
• Mentoring and coaching
• Structured problem-solving
• Collaboration across functions
• Ability to simplify complex technical topics
• Comfort working in fast-changing environments

Preferred Skills

Exposure to AWS, GCP, Azure, Snowflake, Tableau, or Power BI can strengthen an application. Familiarity with frameworks such as LangChain, modern cloud architectures, and enterprise AI deployment practices is also useful.

Qualifications

The posting indicates a requirement of approximately 7–12 years of experience in AI/ML, data science, and advanced analytics, particularly in enterprise environments.

Strong Python expertise is important, as is practical experience building and deploying AI or machine learning solutions. Candidates should be able to demonstrate their understanding of fundamental data science concepts rather than relying only on familiarity with AI tools.

Experience leading or mentoring smaller technical teams is valuable because this is not solely an individual contributor position. Candidates should also be prepared to explain previous projects clearly, including the problem addressed, technical approach, implementation challenges, and measurable business impact.

The job posting does not specify a particular academic degree as a mandatory requirement. Applicants should therefore review the official vacancy for the latest qualification criteria before applying.

Benefits and Perks

The supplied job information does not provide a specific salary range or complete benefits package for this position. Therefore, applicants should not rely on third-party salary estimates when evaluating the opportunity.

Benefits, compensation, flexibility, relocation assistance, insurance, leave policies, and other employment terms can vary according to location, level, and applicable employment conditions. Candidates should confirm these details directly with BCG during the recruitment process.

BCG also highlights employee development, inclusion, wellbeing, and flexibility as areas supported through its workplace programs, although the exact benefits available to an individual employee should be confirmed with the company.

Why Consider This Opportunity?

Strong combination of leadership and hands-on AI

Many senior positions move almost entirely into people management. This opportunity stands out because the role continues to involve hands-on data science and AI work while adding leadership responsibilities.

Exposure to modern AI

GenAI, LLMs, RAG, prompt engineering, and agentic AI are included in the role's technical expectations. Professionals interested in applying these technologies to enterprise problems may find the work particularly relevant.

Global collaboration

The position is part of a global data and analytics environment. Working with stakeholders across regions can help experienced professionals develop a broader understanding of how data and AI solutions operate at enterprise scale.

Career development

Leading technical teams while remaining involved in delivery can help candidates build both engineering depth and organizational leadership skills.

Business impact

The role focuses on using technology to address real organizational challenges. This can provide an opportunity to connect sophisticated data science techniques with measurable business outcomes rather than treating AI as an isolated technical exercise.

Hiring Process

BCG does not provide enough information in the supplied vacancy to confirm a fixed, role-specific selection process. In general, applicants should expect some combination of the following:

1. Online application – Submit your application and resume through the official BCG careers platform.
2. Resume review – Recruiters may evaluate experience, technical background, and alignment with the position.
3. Interview stages – Candidates may be asked about their professional experience, technical knowledge, leadership capabilities, and previous projects.
4. Technical or analytical evaluation – Depending on the recruitment process, applicants may encounter an assessment or technical discussion.
5. Stakeholder or leadership discussions – Senior roles can involve conversations focused on communication, strategic thinking, and leadership.
6. Final decision and offer – Selected candidates receive further information about employment terms and next steps.

These steps are general guidance and should not be interpreted as a guaranteed BCG process for Job ID 58118.

How to Apply

Interested candidates should apply through the official Boston Consulting Group careers website rather than relying on unofficial job portals or third-party application links.

Official Apply Link:
https://careers.bcg.com/global/en/job/58118/Global-Data-Science-Senior-Manager-Chapter-Lead

Before submitting an application, review your resume carefully and highlight relevant experience in Python, machine learning, enterprise AI, GenAI, LLMs, RAG, cloud platforms, and technical leadership. Where possible, describe the business outcomes of your previous projects instead of simply listing technologies.

Frequently Asked Questions

1. Who can apply for the Global Data Science Senior Manager role?

The position is intended for experienced professionals with approximately 7–12 years of relevant experience in AI/ML, data science, and advanced analytics.

2. Where is this BCG position located?

The vacancy lists Gurugram and Bengaluru, India as locations. Applicants should verify the applicable location and working arrangement in the official posting.

3. Is Python required?

Yes. Strong hands-on Python proficiency is one of the key technical expectations for the position.

4. Is GenAI experience required?

The role places significant emphasis on GenAI, LLMs, and agentic AI experience. Practical experience building AI solutions can therefore be highly relevant.

5. Does the role involve people management?

Yes. Along with hands-on technical contribution, the position includes mentoring, capability building, and technical team leadership.

6. Is cloud experience necessary?

Cloud knowledge is valuable. The posting specifically mentions AWS, while broader experience with AWS, GCP, and Azure is relevant to the role. Cloud exposure should be considered a strong supporting skill.

7. Is remote work available?

The supplied vacancy does not confirm a specific remote-work arrangement. Candidates should check the latest BCG posting or discuss working arrangements with the recruiting team.

8. Does BCG provide relocation assistance?

The supplied job details do not confirm relocation benefits for this vacancy. Applicants who require relocation should ask the recruitment team about applicable support.

9. What should candidates emphasize on their resume?

Relevant experience with Python, machine learning, GenAI, LLMs, RAG, AI agents, enterprise deployment, stakeholder engagement, and team leadership should be clearly presented.

10. Where should I apply?

Applications should be submitted through the official BCG Careers website using the job listing for Job ID 58118.

Related Job Suggestions

Professionals interested in this opportunity may also want to search for:

• Senior Data Science Manager
• AI/ML Engineering Manager
• Principal Data Scientist
• Head of Data Science
• Generative AI Lead
• Machine Learning Engineering Manager
• AI Solutions Architect
• Senior Analytics Manager

Final Thoughts

The Global Data Science Senior Manager – Chapter Lead at BCG is designed for an experienced technology professional who wants to combine technical contribution with leadership. Its emphasis on Python, machine learning, GenAI, LLMs, RAG, AI agents, cloud technologies, and enterprise-scale delivery makes it particularly relevant to candidates building careers around modern artificial intelligence.

At the same time, the position requires more than technical knowledge. The ability to mentor teams, communicate with senior stakeholders, understand business requirements, and turn complex ideas into practical solutions is equally important.

If your background aligns with the stated requirements, review the vacancy carefully and submit your application through BCG's official careers platform. Always verify the latest job status, location, qualifications, and employment terms directly with the employer before applying.