17 publicaciones de empleo destacadas de principal technical program manager, engineering enablement en cuauhtémoc, dif (¡Están contratando!)

Manager, Analytics, Data Engineering
Quad/Graphics —Ciudad de México, CDMX
- Bilingüe
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- Azure
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Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Microsoft Office
- Seguro dental
- Seguro de la vista
Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Expert Data Scientist
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
7d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
DD&T Digital Learning, Analyst
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
- Seguro dental
- Seguro de la vista
Software Engineer, AI Agent Platform
QAD —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en manufactura
- Liderazgo
- Python
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Software Engineer, AI Agent Platform
QAD, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en manufactura
- Liderazgo
- Python
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SiteOps Specialist
EarnIn —Ciudad de México, CDMX
- Liderazgo
Postulación rápida
Operations Project Intern (TikTok LIVE-AMS-LATAM) - 2026 Start (BS/MS)
TikTok —Ciudad de México, CDMX
- Inglés
- Maestría
- Licenciatura
Salesforce Developer - Affirmative Action Vacancy for Women
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- JavaScript
- HTML

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Manager, Analytics, Data Engineering

Quad/Graphics -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Bilingüe
Administración de personal
Plurilingüe
Alteryx
Inglés
SQL
Usabilidad
Liderazgo
T-SQL

Descripción completa del empleo

Location Mexico City, Mexico City Job Category Data Analytics Business Unit (brand) Rise Date posted 08/10/2026 Job ID 40970

Role Overview

The Manager, Analytics, Data Engineering, will lead Rise’s Data Engineering team in support of the broader Media Analytics organization. Based in Mexico City and reporting to the Associate Director of Data Management (Sussex, WI), this role is responsible for developing, implementing, and maintaining data onboarding, ingestion, cleansing, and operational processes that ensure high-quality data is accessible for audience development, business intelligence, data science, research, and client analytics solutions.

This individual will play a critical role in supporting Quad’s audience data ecosystem, including the ingestion and management of first-party data assets, audience enrichment processes, identity resolution initiatives, match-back methodologies, and response analysis workflows. Success in this role requires exceptional bilingual communication skills, strong cross-functional collaboration, and meticulous attention to detail.

As a key liaison between Data Engineering, Business Intelligence, Data Science, and Analytics teams, this leader will ensure data assets are accurate, scalable, and actionable while supporting the continued growth of Quad’s audience and measurement capabilities.

Leadership – People & Project Management

Build, lead, and develop the Data Engineering team in Mexico City, fostering a culture of accountability, collaboration, innovation, and continuous improvement.
Manage project priorities, resource allocation, and delivery timelines across multiple concurrent initiatives supporting broader data engineering projects managed from Sussex.

Audience Data Management

Lead the ingestion, onboarding, transformation, and maintenance of first-party audience data assets across Quad's data ecosystem.
Oversee data cleansing, normalization, standardization, and quality assurance processes to ensure data accuracy and usability using existing infrastructure, schemas, and tools.
Support identity resolution and audience enrichment initiatives through scalable data engineering practices.
Collaborate with the U.S.-based team to improve and maintain automated workflows supporting audience creation, audience activation, and measurement processes.

Match-Back & Response Analysis Enablement

Facilitate data preparation and engineering processes required for match-back analysis, attribution measurement, and response analysis initiatives.
Partner closely with Business Intelligence and Data Science teams to ensure data assets are structured and accessible for analytical modeling and reporting.
Support the development of scalable processes that improve campaign measurement accuracy and operational efficiency.

Cross-Functional Collaboration

Work closely with Business Intelligence, Data Science, Analytics, Client Services, Product, and Technology teams to support data-driven decision-making.
Collaborate with U.S.- and Mexico-based stakeholders to gather requirements, prioritize initiatives, and deliver high-quality data assets.

Communication & Stakeholder Management

Act as a bridge between U.S.-based and Mexico City-based technical and non-technical team members, translating complex requirements into actionable project plans.
Lead meetings, project discussions, and presentations in both English and Spanish.
Communicate project status, risks, dependencies, and recommendations clearly to leadership and business partners.

Data Operations & Performance Optimization

Ensure Business Intelligence and Data Science teams have timely access to clean, reliable, and well-documented data.
Monitor and optimize data pipelines, automation processes, and platform performance.
Identify opportunities to improve operational efficiency, reduce manual effort, and enhance data quality across the analytics ecosystem.

Qualifications & Experience

5+ years of experience in data engineering, analytics engineering, business intelligence, or a related technical discipline.
Experience working with large-scale customer, audience, marketing, or first-party data environments.
Experience supporting audience development, identity resolution, match-back analysis, campaign measurement, or response analytics initiatives preferred.
Experience leading technical teams and managing cross-functional projects.
Experience working with distributed teams across multiple geographic locations preferred.
Media, marketing, advertising, customer analytics, or audience analytics experience strongly preferred.

Knowledge, Skills & Abilities

Language Skills

Fluent bilingual proficiency in English and Spanish required.
Ability to communicate effectively with business and technical stakeholders in both languages.
Ability to lead meetings, create documentation, present findings, and collaborate daily in English and Spanish.

Communication & Collaboration

Exceptional written and verbal communication skills.
Strong collaboration and relationship-building skills across diverse teams and functions.
Ability to work effectively in a highly collaborative environment with stakeholders in both Mexico and the United States.

Attention to Detail

Exceptional attention to detail and commitment to data accuracy, process consistency, and operational excellence.
Ability to identify data quality issues, troubleshoot root causes, and implement sustainable solutions.

Technical Skills

T-SQL
PySpark
Alteryx
Snowflake

Leadership Skills

Proven ability to build, develop, and retain high-performing technical teams.
Strong project management, prioritization, and organizational skills.
Ability to balance tactical execution with continuous process improvement.

Location: Mexico City, 3 days in office; Applicants must hold Mexican citizenship

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Quad

Benefits for all areas of life

Quad recognizes that wellness is more than physical health. That’s why we offer comprehensive benefits that empower employees to build healthy, balanced lives at work and at home. From physical and mental health, to financial, family, and community wellness, we provide benefits and programs that help support employees’ overall well-being.

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