ROLE SUMMARY
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and cutting-edge in a data-driven world.
Are you passionate about using data science, AI, and autonomous agents to unlock the return on every marketing dollar? Do you thrive where advanced analytics, agentic AI, and commercial strategy meet? Join our team as a Manager, Data Science and AI, where you will design, build, and deploy AI‑solutions that measurably improve how the business invests across channels.
As a Manager, Data Science & AI within GCA, you are a hands-on practitioner and individual contributor at the technical core of Pfizer's commercial AI transformation. This is not a people-management or oversight role — it is a builder role. You own the end-to-end technical execution of AI initiatives: from data ingestion and model selection through RAG pipelines, agent orchestration, and production deployment. You are equally credible at the whiteboard and in a code review,
and you hold yourself to a high bar for engineering quality in everything you ship.
You partner directly with the International Commercial AI leadership, program managers, and business sponsors to translate ambitious commercial goals into sound, scalable, and compliant technical solutions. You are not someone who delegates the hard parts — you are the person others rely on when the architecture needs defining, the data is messy, or the model isn't performing. You build the thing, and you make it work.
ROLE RESPONSIBILITIES
1. Agentic AI Development & Deployment
Build and deploy production-grade AI agents that automate commercial workflows, optimize channel investment decisions, and enable intelligent user interactions.
Implement multi-agent orchestration systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI — wiring agent roles, tool use, memory patterns, and human-in-the-loop controls.
📌 Manager, Data Science and AI (Mumbai)
🏢 Pfizer
📍 Mumbai