Director, Retail Media Analytics

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.

The annual salary range for this position is $181,250 - $219,075. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

Location:

New York

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.

 

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