Data Strategy & Management Lead

Pfizer

México

Híbrido

MXN 900.000 - 1.300.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Pfizer is seeking a Manager, Data Strategy & Management to lead execution of the enterprise data strategy and governance. You will design, build, and maintain scalable data assets to support analytics and enterprise decision‑making in Performance Reporting.

You will partner with senior DSM leaders, analytics, data science, and business stakeholders to translate requirements into well‑engineered, compliant data products and collaborate across teams to enable advanced analytics and modeling use

Formación

  • Bachelor's or Master's degree in a related field with 5+ years' experience in data engineering, strategy, analytics engineering, or related area.
  • Strong SQL, Python, and modern data platforms experience with hands-on data pipelines.
  • Experience translating business requirements into scalable data solutions and governance.

Responsabilidades

  • Execute components of the enterprise data strategy, delivering data pipelines and assets to support analytics and insights teams.
  • Translate business requirements into scalable data designs and data structures.
  • Collaborate with analytics partners and stakeholders to enable advanced analytics and ensure data quality and compliance.

Conocimientos

SQL
Python
Data modeling
Data pipelines
Data governance
Communication

Educación

Bachelor's degree
Master's degree

Herramientas

ETL tools
Cloud platforms
APIs

Descripción del empleo

Pfizer is seeking a Manager, Data Strategy & Management to lead execution of the enterprise data strategy and governance. You will design, build, and maintain scalable data assets to support analytics and enterprise decision‑making in Performance Reporting.

You will partner with senior DSM leaders, analytics, data science, and business stakeholders to translate requirements into well‑engineered, compliant data products and collaborate across teams to enable advanced analytics and modeling use

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