Head - Data Science - Revenue Growth Management Practice

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.