Sr Associate, Data Strategy & Management – GCA Mexico Analytics Center

ROLE SUMMARY

Pfizer Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer’s most critical business decisions. Our dynamic team of subject-matter experts comes from diverse backgrounds — including data science, engineering, market research, and consulting — and collaborates to turn data into meaningful insights that have a direct impact on patients’ lives and the future of Pfizer as a data-driven organization.

GCA is expanding its footprint in Mexico through the establishment of a dedicated analytics capability center to meet growing business demand and accelerate the development of innovative analytics solutions for the US Commercial Division.

The Sr Associate, Data Strategy & Management role is a key contributor within the Data Strategy & Management (DSM) team, responsible for executing and operationalizing enterprise data strategy, governance, and foundational data solutions that enable high‐quality analytics and business insights.

This role partners closely with senior team members, analytics, data science, and business stakeholders to design, build, and maintain scalable, reliable data assets that support commercial and enterprise decision‐making. The Sr Assoc operates as a hands-on data leader, translating defined strategies and business requirements into well‐engineered, compliant, and reusable data products.

This position is ideal for an experienced data professional who thrives in execution, collaboration, and technical problem‐solving, while continuing to grow strategic influence.

ROLE RESPONSIBILITIES

Reporting to the Lead, Pipeline & Analytics Excellence – GCA Mexico Analytics Center, the Sr Assoc will focus on execution, delivery, and technical leadership across DSM initiatives.

Data Strategy Execution & Enablement

Execute components of the enterprise data strategy by delivering data pipelines, assets, frameworks, and solutions aligned to support business priorities of the Data Science, IIS, and Performance Analytics and Insights (PAI) team.