Responsibilities

• Growth Intelligence Strategy
• Lead the development of Yuit’s research, analytics, measurement, and intelligence capabilities.
• Translate agency priorities into practical systems, standards, processes, and implementation plans.
• Connect research, data, marketing performance, client knowledge, technology, and business outcomes.
• Recommend which capabilities should be built internally, supported by partners, licensed, piloted, expanded, or deferred.
• Partner with the President and department leaders on capability development and growth opportunities.
• Data Strategy, Research & Audience Intelligence
• Help define the data and analytics infrastructure required to support the agency’s evolving needs.
• Work with specialists on data pipelines, APIs, warehouses, schemas, integrations, taxonomy, documentation, and data quality.
• Improve how campaign performance, research, historical information, and client knowledge are preserved and connected.

Requirements

• Approximately 8–12+ years of experience across marketing analytics, marketing science, data strategy, measurement, consumer research, martech, adtech, business intelligence, consulting, or related disciplines.
• Experience building, leading, or materially advancing an analytics, data, research, measurement, or intelligence capability used by others to make decisions.
• Strong strategic, systems-thinking, communication, and facilitation skills.
• Working knowledge of APIs, ETL/ELT, data warehouses, schemas, data quality, identity resolution, customer-data platforms, and data clean rooms.
• Strong statistical literacy and working knowledge of research methods including questionnaire design, sampling, longitudinal research, segmentation, weighting, and survey bias.
• Experience with attribution, experimentation, incrementality, lift studies, marketing mix modeling, CRM outcomes, or business-outcome measurement.
• Understanding of how first-party, licensed, public, and modeled data can be used responsibly.
• Ability to work effectively with engineers, researchers, analysts, data scientists, marketers, vendors, and executive leaders.
• Strong business orientation and the ability to translate complex technical or analytical information for nontechnical audiences.
• Experience leading cross-functional initiatives and external vendors, consultants, or strategic partners.

Preferred

• Experience in agency analytics, marketing science, consumer insights, audience segmentation, longitudinal research, first-party data and CRM, identity resolution, data clean rooms, advanced measurement, modern analytics infrastructure, geographic intelligence, AI-enabled analytics, knowledge management, data partnerships, or building a new intelligence capability would be especially valuable.

Benefits

• Benefits include medical, dental, and vision insurance; short- and long-term disability; AD&D insurance; 401(k); paid time off; remote-work flexibility; professional development; and location-based lunch or office benefits.