I&P - GN - SONG - AI & Data - Commerce - Decision Science -  Manager

Management Level: Ind & Func AI Decision Science Manager – Level 7 Location: Gurgaon / Bangalore / Mumbai Functional: SONG Commerce / Commercial Analytics - pricing, promotion, assortment, personalization, recommendation and next-best-action, route-to-market and revenue growth management; descriptive, diagnostic, predictive and prescriptive analytics Analytics Models knowledge: Econometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal Models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and Unsupervised Learning, Generative AI and Agentic AI patterns including RAG, agent orchestration, tool calling and multi-agent workflows. Technical: Azure ML Tech Stack, SQL, PySpark, Python, Cloud Platforms (Azure, GCP), Data Architecture, Data Modeling & Pipelines, LangChain, LangGraph, enterprise RAG, vector retrieval, LLM APIs, agent/tool orchestration, evaluation, guardrails and Agentic AI deployment patterns, Power Platform (BI + App), Tableau and Custom Frontend Soft skill: Client stakeholders Management, Team leading skills, Team mentoring & Coaching, PowerPoint and Excel reporting, pro-active initialization, accountability, RFPs Solutioning skills, SP-51 Documentation, Delivery management, Project management tool – JIRA, Azure DevOps etc. Industry Knowledge: Commerce, CPG, FMCG, Retail; understanding of customer, product, pricing, promotion, assortment, campaign and transaction data Good to have skills: AWS Cloud Capability, Scalable Machine Learning Architecture Design Patterns, AI Capability Building, React / Angular frontend development, DevOps pipelines, conversational AI, agent observability/evaluation, model and prompt governance, and integration of agentic workflows with commerce, CRM, marketing and campaign platforms, D&A Solution Architecture and reusable Agentic Commerce accelerator design.