Global Data Science Senior Manager – Chapter Lead at boston consulting group

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Python, SQL, Snowflake, AWS, AI, Machine Learning, GenAI, Data Engineering, Data Visualization, Agile, Stakeholder Management, Data Architecture, Collaboration, Innovation, Coaching

Industry

Business Consulting and Services

Description

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As part of Knowledge Data & Analytics team, you will play a key leadership role in delivering AI, GenAI, and advanced analytics solutions across Knowledge teams. You 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. In this role, you will: 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. Develop reusable, modular, and efficient solutions to enable large-scale data transformation, integration, and automation workflows. Work across Data & Analytics teams to drive capability development, best-practice sharing, and a culture of technical excellence across teams. Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives. Translate complex data challenges into actionable strategies, ensuring initiatives are aligned with BCG’s broader business and knowledge goals. Foster innovation and continuous improvement by driving agile ways of working and empowering cross-functional collaboration. Partner with global stakeholders to define and execute data and AI strategies, ensuring technical solutions deliver measurable business value. Communicate insights and technical concepts effectively, simplifying complex narratives for senior stakeholders and non-technical audiences. Leverage visualization tools (e.g., Tableau, Power BI) to craft intuitive dashboards and data stories that enhance understanding and impact. What You'll Bring 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. Who You'll Work With You’ll be part of Knowledge Data & Analytics team within the Knowledge portfolio, collaborating with global stakeholders across functions and regions. The role will be based in Gurugram as part of the larger Data & Analytics group, which supports multiple functions across BCG by driving data strategy, analytics innovation, and AI-enabled capabilities. In this role, you’ll work closely with internal stakeholders to design and deliver data-driven, visualization, and innovation solutions that enhance decision-making, optimize processes, and create measurable business impact across the firm. Additional info YOU'RE GOOD AT 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 — you’re 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 — you’re 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. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Responsibilities

Lead and develop high-performing teams in designing and implementing AI-driven analytics solutions. Foster innovation and continuous improvement by driving agile ways of working and empowering cross-functional collaboration.