Manager, Marketing Effectiveness

dentsu•Chicago, IL

1d•$68,000 - $105,000•Remote

About The Position

We're seeking a Manager, Data Management to own the data foundation powering measurement and reporting on the Hilton account. This is a high-trust, low-oversight role for a technically strong leader who can operate independently, manage multi-source data across channels, create and manage new data integrations, and maintain a high level of data accuracy through adherence to a multi-team QA process.

Requirements

Bachelor's degree in Statistics, Economics, Data Science or related quantitative field
4-6+ years in data engineering, data management, or analytics engineering, with a track record in high-volume, complex environments.
Demonstrated ownership of data QA and taxonomy governance. Able to design, adhere and execute a QA process.
High proficiency in data visualization tools (Excel, Tableau, Power BI).
Multi-source, multi-channel data experience across the media/marketing ecosystem.
Ability to work autonomously with large datasets with limited management oversight.
Strong client-facing skills, including sound judgment on feasibility and the ability to manage expectations with integrity.
Strong interpersonal skills with ability to collaborate and work with internal cross-channel and client teams.
High attention to detail.
Excellent problem solving and critical thinking skills.
Demonstrates strong analytical, project management, storytelling and communication skills.
Experience in supporting MMM data workstreams.

Responsibilities

Own data quality, QA processes, and taxonomy governance across all Hilton measurement and reporting workstreams — including defining, recommending, and maintaining QA standards.
Continue the transition of recurring reports into a dashboard-first environment (Power BI), ensuring data integrity and visualization quality meet client-facing standards.
Manage and integrate multi-source, multi-channel data (paid media, owned, and third-party) into clean, reliable, decision-ready datasets.
Partner cross-functionally with measurement, analytics, and account teams to tie data infrastructure to measurement plans and learning agendas.
Serve as the trusted data lead in client interactions — assessing feasibility upfront, setting realistic expectations, and delivering credible recommendations.
Maintain and troubleshoot connectors for continued and error-free ingestion of data into our dashboard.
Experience in integrating disparate data sources into a single unified source (dashboard).
Strong experience in developing and managing API endpoints, integrating with external and internal systems.