Manager, Marketing Effectiveness

Accountabilities:

• Own data quality, QA processes, and taxonomy governance across marketing measurement and reporting workstreams, defining and maintaining standards that ensure consistent and reliable outputs.

• Lead the continued transition from recurring reports to a dashboard-first environment using Power BI, ensuring data integrity, visualization quality, and client-facing usability.

• Manage, integrate, and maintain multi-source, multi-channel datasets spanning paid media, owned channels, third-party sources, and other marketing data ecosystems.

• Develop and manage data integrations, connectors, and API endpoints to support reliable ingestion from internal and external systems.

• Integrate disparate data sources into unified, decision-ready datasets and troubleshoot ingestion issues to maintain accurate and uninterrupted reporting.

• Partner with measurement, analytics, and account teams to connect data infrastructure with measurement plans, learning agendas, and broader marketing objectives.

• Support marketing mix modeling (MMM) data workstreams by preparing, validating, and maintaining high-quality datasets.

• Act as the trusted data lead in client interactions, evaluating technical feasibility, setting realistic expectations, communicating risks, and providing credible recommendations.

• Operate independently in a high-volume environment while maintaining rigorous attention to detail, documentation, and adherence to cross-functional QA processes.

• Identify opportunities to improve data workflows, reporting efficiency, visualization quality, and overall reliability of the marketing measurement ecosystem.

Requirements:

• Bachelor’s degree in Statistics, Economics, Data Science, or another quantitative discipline, or equivalent relevant experience.

• 4-6+ years of experience in data engineering, data management, analytics engineering, or a related field, ideally within high-volume and complex environments.

• Demonstrated experience owning data quality, QA processes, taxonomy governance, and data validation frameworks.

• Strong experience working with large, multi-source, multi-channel datasets within the media, advertising, or marketing ecosystem.

• High proficiency with data visualization and reporting tools such as Excel, Tableau, and Power BI.

• Hands-on experience integrating disparate data sources into unified dashboards or reporting environments.

• Strong experience developing, managing, and troubleshooting API endpoints and integrations with internal and external systems.

• Experience maintaining data connectors and resolving ingestion issues to ensure accurate and continuous data flows.

• Experience supporting marketing mix modeling (MMM) data workstreams is highly valuable.

• Ability to work autonomously with complex datasets and make sound decisions with limited management oversight.

• Strong client-facing communication skills, with the judgment to assess feasibility, manage expectations, and communicate technical considerations clearly.

• Excellent analytical, problem-solving, critical-thinking, project-management, storytelling, and communication skills.

• Strong interpersonal skills and the ability to collaborate effectively with cross-functional, cross-channel, and client teams.

• Exceptional attention to detail and a strong commitment to data accuracy, consistency, and reliability.

• Ability to translate technical data concepts into clear business insights and actionable recommendations.

Benefits:

• Annual salary range of $68,000-$105,000, with placement determined by relevant experience, knowledge, skills, and other applicable factors.

• Medical, dental, and vision insurance.

• Life insurance.

• Short-term and long-term disability insurance.

• 401(k) retirement plan.

• Flexible paid time off.

• At least 15 paid holidays per year.

• Paid sick and safe leave.

• Paid parental leave.

• Flexible working arrangements, with remote opportunities available depending on location, role, and business needs.

• A collaborative work environment that combines flexibility with opportunities for in-person connection.

• Reasonable workplace accommodations are available for qualified individuals with disabilities and disabled veterans.

• Opportunities to work on complex marketing measurement, analytics, and data initiatives with cross-functional teams.

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