Job Description:

Director of Retail Media Analytics

Merkle | Retail Media Network

Role Summary

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.

Core 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.

Required Qualifications

Leadership & Communication

• 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.

Retail Experience

• 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.

Data Science & Measurement Expertise

• 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.

Preferred Experience

• 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.

Location:

New York

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent