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.

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

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