Role Overview: We are looking for a seasoned Head Data Science to help build and scale our next-generation Revenue Growth Management (RGM) practice, combining deep expertise in Data Science, advanced analytics, commercial decision-making, and large-scale program delivery. The ideal candidate will have deep experience applying advanced analytics and data science across multiple RGM levers such as Pricing, Promotion, Assortment, and Trade Planning/Trade Investment Management, and will be responsible for driving enterprise-scale solutions for global clients across CPG, Retail, Healthcare & Life Sciences, and Travel & Hospitality. Key Responsibilities: Revenue Growth Management & Data Science Leadership: - Lead end-to-end execution of advanced analytics, AI, and Data Science programs across multiple RGM domains, including Pricing, Price Elasticity Modeling, Trade Promotion Optimization (TPO), Assortment Optimization, Trade Investment Effectiveness, Revenue Planning & Forecasting, and Consumer & Commercial Analytics. - Design and implement enterprise-grade RGM solutions that integrate multiple commercial levers. - Drive the development of scalable Decision Intelligence systems that support commercial decision-making. - Apply advanced statistics, machine learning, optimization, forecasting, causal analytics, and AI techniques. - Establish best practices for model development, validation, deployment, and business adoption. Solution Development & Innovation: - Build and scale enterprise RGM platforms and AI-powered commercial solutions. - Drive adoption of GenAI and Agentic AI capabilities within commercial and RGM ecosystems. - Develop reusable accelerators, frameworks, and solution assets. Client Advisory & Commercial Consulting: - Act as a trusted advisor to client stakeholders and executive leadership. - Lead solution workshops, value discovery discussions, and transformation roadmaps. - Translate business problems into analytics and AI-driven solutions. Project & Program Leadership: - Oversee project delivery timelines, quality metrics, commercial outcomes, and delivery governance. - Manage large-scale analytics and AI engagements across global clients. - Act as the bridge between business stakeholders, domain experts, data scientists, and engineering teams. Practice Building & Pre-Sales: - Contribute to business development, solutioning, proposals, RFPs, and strategic pursuits. - Support growth of the RGM practice through thought leadership and capability development. Team Leadership: - Lead and mentor teams of data scientists, data engineers, consultants, and analysts. - Foster a culture of innovation, collaboration, and continuous learning. Required Qualifications: - 13+ years of overall experience with significant experience in Data Science, Analytics, and Commercial Transformation. - Minimum 8+ years of experience leading advanced analytics and Data Science programs. - Strong domain expertise across two or more RGM levers (Pricing, Promotion, Assortment, Trade Planning). - Proven experience delivering enterprise-scale analytics and AI solutions. - Hands-on expertise in machine learning, statistical modeling, optimization, forecasting, and AI-driven decision-making. - Experience with Python, R, SQL, and modern analytics ecosystems. - Advanced degree in Data Science, Statistics, Mathematics, Economics, Operations Research, Computer Science, Engineering, or related field.

Gurgaon/Gurugram

Bangalore

Hyderabad

Pune

Head - Data Science - Revenue Growth Management Practice 

Job Description for Head - Data Science - Revenue Growth Management Practice  in JOBNOC in  Gurgaon/Gurugram Bangalore Hyderabad Pune for (13-21) years of experience. Apply Now!