Director, Measurement & Attribution

Role overview Lead measurement strategy for advertising campaigns, using purchase transaction data to determine whether media generated sales and how audiences and campaign plans can improve. You will establish credible attribution and incrementality methods, turn results into consistent client deliverables, and help build a scalable measurement operation with product and engineering partners.

Responsibilities - Own closed-loop sales attribution and sales-lift measurement using card, bank, SKU-level, or comparable transaction data; improve coverage, rigor, and turnaround. - Define measurement offerings such as attribution, new-to-brand analysis, and reach and frequency. - Design incrementality studies with clear confidence standards across digital, connected TV, social, retail media, and other channels, including purchases made outside the ad platform. - Standardize post-campaign reports and benchmarks so deliverables remain consistent as volume grows. - Present findings to brand, agency, and retailer leaders and recommend changes to audience selection, media allocation, channel mix, frequency, and future tests. - Set feasibility expectations, define privacy-safe matching requirements, shape the measurement roadmap, and partner with product, engineering, and external platforms to automate delivery. - Develop a senior analyst and expand the team as the business grows; use AI tools to streamline routine analysis, quality checks, and reporting.

Requirements - 10+ years in advertising measurement and analytics, including retail media, commerce media, or purchase-based measurement. - Experience developing and commercializing measurement offerings that support client acquisition, retention, and growth. - Hands-on knowledge of transaction-based attribution and sales-lift measurement, with deep expertise in incrementality and causal inference. - Strong understanding of advertising systems, including programmatic buying, retail media networks, clean rooms, and campaign exposure data. - Strong SQL and Python or R skills, with the ability to build and validate models. - Credibility with senior clients, clear communication of complex results, and sound judgment about what a study can establish. - Experience developing analysts and a well-founded view of measurement practices.

Nice to have - Familiarity with IAB or MRC retail media guidelines, audited measurement processes, marketing mix modeling, or work at a purchase-data company, retail media network, or measurement provider.

Benefits and work setup - Remote work flexibility; the role is based in the United States, with preference for the New York metro area and ability to work East Coast hours. - Base salary of $170,000–$200,000, depending on experience, with potential performance bonus and equity. - Benefits include 401(k) matching, paid parental leave, flexible time off, and subsidized health coverage.