Sr. Manager, Data Strategy & Management

Pfizer; Xico; Híbrido; MXN 1,440,000 - 1,801,000; Jornada completa

Descripción de la vacante

A global pharmaceutical company is seeking a Sr. Manager to shape data strategy and governance. The role involves designing scalable data solutions and leading innovation in data engineering and analytics. The ideal candidate should have at least 5 years of experience in relevant fields and strong skills in Python and SQL. You will manage collaboration across teams to ensure data-driven decision-making and compliance with regulatory standards. This position requires a commitment to working on-site 2-3 days a week in Mexico.

Formación

• 5+ years of experience in data strategy, engineering, or related fields.
• Strong understanding of big data systems and pipelines.
• Expertise in Python and SQL necessary.

Responsabilidades

• Define and execute vision for data strategy aligning with business goals.
• Establish governance frameworks and best practices.
• Influence leadership on data-driven decision-making.

Conocimientos

Data strategy development

Data governance

Big data systems

Python

SQL

Stakeholder management

Data engineering

Educación

Bachelor’s degree or equivalent

Master’s degree

PhD

Herramientas

Modern data platforms

API integration

Descripción del empleo

Sr. Manager, Data Strategy & Management

We are seeking a Sr Manager to join our Data Strategy and Management team. This role is critical in shaping the organization’s data strategy, governance, and execution to enable impactful insights and business decisions. You will lead efforts to design and implement scalable, extensible, and highly available data solutions that serve as the foundation for commercial analytics and innovation.

Key Responsibilities

• Define and execute the vision for data strategy, ensuring alignment with business objectives and digital transformation goals.
• Establish governance frameworks, data quality standards, and best practices for data management across the organization.
• Influence senior leadership on data‑driven decision‑making and advocate for investments in data capabilities.
• Drive innovation by identifying emerging technologies and trends in data engineering, analytics, and AI, and assess their applicability to Pfizer’s ecosystem.
• Lead cross‑functional initiatives to integrate data strategy into marketing and commercial workflows.
• Foster a culture of collaboration, continuous learning, and accountability.
• Partner with business and technical teams to prioritize projects, allocate resources, and ensure timely delivery of high‑impact solutions.
• Serve as a trusted advisor to stakeholders, translating complex data concepts into actionable business strategies.
• Translate business requirements into scalable data architecture and engineering specifications.
• Build and oversee the development of robust data pipelines and query‑friendly data structures.
• Ensure compliance with data privacy, security, and regulatory standards.
• Collaborate with Performance Analytics and Insights (PAI) and Data Science to enable advanced analytics and modeling capabilities.
• Drive automation and optimization of data ingestion, transformation, and validation processes.

Qualifications

• Bachelor’s degree with 5+ years of experience OR Master’s degree with 3+ years OR PhD with 0‑2 years in data strategy, engineering, or related fields.
• Strong understanding of big data systems, pipelines, and distributed architectures.
• Expertise in Python, SQL, and modern data platforms.
• Familiarity with API integration, data validation frameworks, and advanced data modeling.
• Exceptional communication and stakeholder management skills; ability to influence at all levels.

Other Job Details

Location: Mexico City, Mexico. Work location assignment: Must be able to work from the assigned Pfizer office 2‑3 days per week, or as needed by the business.

Last date to apply: Dec 24th.

EEO (Equal Employment Opportunity) & Employment Eligibility: Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.