Kumarjit Pathak

Expanded role to lead AI CoE strategy and scale enterprise-wide adoption of AI-driven decision systems. * Leading enterprise AI decision systems across commercial functions, embedding AI into planning, pricing, and retail execution workflows. * Drive GenAI adoption at scale, building agentic systems for planogram optimization, SKU intelligence, invoice analytics, and prescriptive decision support. * Partner with C-level stakeholders to align AI strategy with business priorities, ensuring measurable and accountable outcomes. * Build and scale global AI capabilities, including structured mentorship, capability development, and operating models across business units.

* Built and scaled a global AI product portfolio, leading a 32+ member team across US, LATAM, and India, delivering enterprise-grade AI solutions across markets. * Developed a Digital Route-to-Market platform using computer vision and NLP, generating $31M+ incremental revenue through targeted consumer insights. * Designed and productionized the TestOps experimentation platform, operationalizing causal inference at scale; recognized with the INFORMS Daniel H. Wagner Prize. * Delivered a Commercial Resource Allocation (CRA) optimization system, improving pricing and packaging decisions, generating $25M+ Incremental Revenue. * Standardized reusable ML components and MLOps pipelines, reducing complexity by 50% and accelerating enterprise AI deployment.

Led Merchandise Planning & Allocation (MP&A) analytics and embedded AI-driven decision systems across merchandising and supply chain functions. * Built and scaled the MP&A Data Science team, establishing analytics as a core capability within merchandising and supply chain operations * Developed an in-season promotional optimization platform, enabling data-driven pricing and campaign decisions, delivering $15M+ annual incremental margin * Improved forecasting and inventory planning, reducing excess inventory and generating $10M+ annual savings * Designed and centralized a GCP-based data platform, strengthening data governance, standardization, and cross-functional accessibility * Developed LENS (Customer Sentiment Intelligence Platform), transforming unstructured feedback into actionable insights for merchandising and brand strategy * Drove a data-first operating model, aligning analytics with business strategy and decision-making across functions

Led AI strategy and predictive analytics programs for global clients including British Telecom and Microsoft, enabling adoption of data-driven decision systems across operations and customer platforms. * Developed predictive maintenance solutions for telecom infrastructure, delivering £1.4M+ annual savings * Built computer vision systems for real-time driver fatigue detection within connected infotainment ecosystems * Improved enterprise application security, increasing bug detection accuracy from 83% to 98% using predictive modeling * Designed AI-driven personalization systems, enhancing user engagement across mobile platforms * Optimized telecom network investment and capital allocation, improving ARPU and reducing call drops

* Led analytics and AI initiatives for global clients, delivering solutions across telecom operations, predictive maintenance, and customer analytics * Developed predictive models and optimization frameworks to improve operational efficiency and decision-making across large-scale systems

Led large-scale analytics programs and enterprise engagements, driving data-driven decision-making across global clients. * Led global transition of a $1.2B Nielsen engagement, ensuring seamless integration of analytics across geographies and stakeholder ecosystems * Managed a 110-member analytics organization spanning data science, customer insights, and data engineering, strengthening delivery governance and cross-functional execution * Developed price elasticity and simulation frameworks for FMCG clients, enabling revenue-optimizing pricing strategies * Built customer analytics systems (propensity and churn models), improving retention strategies and targeted marketing effectiveness * Automated analytics workflows and quality frameworks, improving operational efficiency and reducing turnaround times

Led analytics delivery and statistical modeling initiatives, supporting business optimization and decision-making across multiple client engagements

Led analytics delivery and statistical modeling initiatives, supporting business optimization and decision-making across multiple client engagements

Applied statistical modeling and analytics to support cost optimization, planning, and business decision-making.

Worked on predictive analytics and statistical modeling to support project-level forecasting and business insights

Supported research initiatives through statistical and mathematical modeling to drive predictive and data-informed decisions. Worked on Gallup's signature products , CE 11, Q12 and World Poll.