Job Details

Allied Global Marketing is a leading full-service entertainment, culture, and lifestyle-marketing agency. We build strategic campaigns for a diverse range of clients that connect audiences with experiences they love. Our team of experts captures the unique energy of each project with customized strategies that deliver on-target messaging and drive bottom-line results. An integrated approach is supported by our on-the-ground network of 24 offices and over 500 colleagues across the globe, providing resources and relationships that our partners and clients know and trust.

Salary: $130,000-$140,000

Location: US, Remote (East Coast hours)

Department: Strategy & Innovation

Reports To: VP, Strategy & Innovation

Position Overview

Allied Global Marketing is seeking a hands-on Data Engineering Manager to architect, build, and optimize the systems that power our marketing analytics, attribution, and AI-driven insights. This role bridges marketing technology, data engineering, and analytics - ideal for a technically skilled professional who thrives on implementation, problem-solving, and precision.

You'll have full ownership in designing and deploying measurement systems. This includes complex attribution methodologies, such as multi-touch attribution (MTA), data-driven modeling, and marketing mix modeling, ensuring our campaigns are measured and optimized with statistical rigor.

Key Responsibilities

1. Data Engineering & Modeling:

• Lead integrations between media platforms, CRM systems, and sales databases to connect marketing performance with true business outcomes.
• Be hands-on in writing and optimizing SQL for dashboards, campaign reporting, and data model development.
• Build and maintain ETL/ELT pipelines across marketing data sources (Meta, Google Ads, TikTok, LinkedIn, etc.) using dbt or similar frameworks.
• Collaborate on the design of Allied's centralized marketing data warehouse (e.g., Snowflake, BigQuery, Redshift), ensuring scalability and automation.
• Troubleshoot data flow and dashboard issues directly.
• Manage data vendors, employees, and/or contractors, ensuring alignment with Allied's technical standards, data governance, and delivery timelines.
• Vet and evaluate external technology vendors, including data connectors, attribution tools, and analytics platforms, ensuring performance, compliance, and value alignment.
• Maintain and evolve privacy-compliant data frameworks using tools like OneTrust, ensuring GDPR, CCPA, and iOS ATT adherence.
• Diagnose and resolve consent or data loss issues impacting attribution and conversion tracking.

2. MarTech Implementation & Tracking

• Implement and maintain digital marketing tracking systems including GA4, GTM, pixels, server-side tracking, and event-based analytics.
• Configure and optimize server-side and enhanced conversions to improve attribution precision in privacy-constrained environments.
• Manage and integrate mobile measurement partners (Appsflyer, Branch) for app-to-web attribution and cross-platform user journey tracking.
• Build scalable onboarding and QA processes for new client tracking implementations, ensuring data consistency and faster activation across accounts.

3. Attribution & Measurement

• Lead the design and implementation of attribution frameworks, including multi-touch, cross-channel, and incrementality models, ensuring data accuracy across all marketing platforms.
• Own the end-to-end data architecture for campaign performance tracking and conversion modeling, from raw ingestion to clean, analytics-ready datasets.
• Partner with analytics and paid media teams to evolve attribution logic based on evolving privacy standards, walled garden limitations, and first-party data strategies.

4. Cross-Team Collaboration

• Translate marketing requirements into scalable technical solutions that support both internal reporting and client-facing analytics.
• Stay ahead of trends in data modeling, marketing measurement, and AI analytics, driving continuous improvement in Allied's data infrastructure.
• Educate and upskill media and analytics teams on interpreting advanced tracking data, attribution logic, and optimization best practices.

Required Qualifications

• 5-7 years of hands-on experience implementing and managing marketing and analytics tracking systems.
• 5+ years of data engineering or analytics engineering experience, including SQL-based modeling, ETL/ELT pipeline development, and dbt or equivalent frameworks.
• Demonstrated experience implementing multi-touch attribution models, data-driven attribution (DDA), or media mix modeling.
• Deep understanding of digital marketing ecosystems, including campaign data structures and platform APIs.
• Proficiency in SQL and familiarity with several data warehouse platforms (Snowflake, BigQuery, Redshift).
• Experience with marketing data integration tools (e.g., Funnel, Supermetrics, Hightouch, Fivetran) preferred.
• Strong fluency with web and CRM platforms such as WordPress, Shopify, and HubSpot.
• Knowledge of privacy frameworks and experience managing compliance tools.
• Proven ability to build and troubleshoot data pipelines independently and communicate solutions clearly to both technical and non-technical stakeholders.
• Based on the U.S. East Coast and comfortable collaborating across multiple time zones.

Details:

• Benefits: This position will be eligible to participate in the standard benefits offered to full-time employees of Allied Global Marketing (medical, dental, vision, short-term and long-term disability and life insurance as well as 401k and Flexible PTO). In addition, we offer 10 company paid holidays.
• This position does not offer visa sponsorship.

#LI-Remote

Allied Global Marketing is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other status protected under federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.