Director, Retail Media Analytics

dentsu•New York, NY

2d•Hybrid

About The Position

The Director of Retail Media Analytics will lead a team of analysts in support of a retailer-owned Retail Media Network. This role oversees day-to-day executional requirements to enable campaign measurement and serves as a trusted advisor to the retailer on data science and measurement systems that drive advertiser confidence, pricing strategy, and media investment decisions across onsite, offsite, and in-store retail media. This is a senior analytics leadership role requiring deep experience operating inside a retailer and understanding of measurement systems specifically for retail media monetization.

Requirements

Experience leading analytics or data science teams to deliver timely and accurate insights.
Skilled in developing analytics workflows and identifying process improvements.
Ability to translate advanced models into clear business recommendations.
Comfortable influencing senior stakeholders and challenging assumptions with data.
5+ years of experience working directly at a retailer. Experience must include ownership of analytics, measurement, or data science within a retail organization.
Demonstrated understanding of retail constraints including merchandising, promotions, pricing, loyalty data, and store operations.
10+ years total experience in analytics or data science.
Strong attribution expertise across onsite and offsite media.
Proven experience with incrementality testing and causal inference.
Strong SQL plus Python and/or R modeling experience.

Nice To Haves

Experience supporting or operating a Retail Media Network at a Retailer.
Exposure to omnichannel or in-store media measurement.
Familiarity with identity graphs, clean rooms, or audience measurement.
Experience informing pricing, yield, or inventory strategy through analytics.
Hands-on experience building or using MMM, preferably in commerce or retail contexts.

Responsibilities

Leadership & Cross-Functional Partnership Build, mentor, and lead analytics and data science talent.
Act as a senior analytics advisor to retail media leadership.
Support advertiser-facing conversations with credible, defensible measurement narratives.
Influence product, pricing, and sales roadmaps through data-driven insights.
Retail Media Measurement Architecture Provide thought leadership on end-to-end measurement strategy for a retailer-owned Retail Media Network.
Consult on how attribution, incrementality, and MMM work together to support short-term optimization and long-term revenue growth.
Ensure analytics outputs directly support advertiser performance narratives and RMN monetization goals.
Attribution & Identity-Aware Measurement Act as an SME on attribution strategy across onsite and offsite retail media; provide proactive recommendations on rule-based, algorithmic, and modeled attribution approaches.
Identify and mitigate attribution bias, duplication, and signal loss.
Define guardrails for when attribution is directional versus decision-grade.
Incrementality & Experimentation Support design and oversee incrementality testing frameworks aligned to retail media use cases; ensure testing approaches are scalable across advertisers of varying size and data maturity.
Balance statistical rigor with real retail operational constraints.
Translate test outcomes into durable investment and optimization guidance.
Data Science & Modeling Leadership Lead modeling workflows using SQL, Python, and/or R.
Partner with data engineering to shape modeling-ready data pipelines.
Ensure strong documentation, validation, and governance of all models.
Push the organization toward decision systems, not static reporting.