Associate Director, Attribution
About the role
We're looking for an Associate Director, Attribution to be the technical powerhouse behind our Attribution team. This is not a traditional consulting role focused on endless client meetings. Instead, you'll be the expert responsible for building, refining, and advancing sophisticated measurement solutions that help some of the world's most recognized brands make smarter marketing decisions. You'll work alongside talented marketing scientists, engineers, and media experts to shape the future of measurement through Marketing Mix Modeling (MMM), attribution, forecasting, causal measurement, and advanced analytics.
Responsibilities
- Lead end-to-end development of advanced Marketing Mix Models from data strategy through model delivery and ongoing optimization.
- Build, validate, and improve MMM frameworks using both Bayesian and Frequentist methodologies.
- Manage multiple modeling engagements simultaneously across a diverse portfolio of clients and industries.
- Partner with media, data engineering, and analytics teams to transform business objectives into actionable measurement strategies.
- Deliver insights that drive optimization of media and marketing investments across online and offline channels.
- Serve as the technical lead for project teams, providing guidance, quality control, and mentorship to junior modelers.
- Contribute to the evolution of our measurement methodologies and help push beyond traditional MMM approaches.
Requirements
- Significant hands-on experience building MMM models from scratch and leading full model development lifecycles.
- Deep expertise in both Bayesian and Frequentist marketing mix modeling techniques.
- Proven success managing multiple MMM engagements simultaneously, ideally across 10+ client models.
- Strong foundation in statistical modeling, attribution, forecasting, and marketing measurement frameworks.
- Experience mentoring analysts, managers, or junior modelers in a project-based environment.
- Proficiency with Databricks and modern analytics environments.
- Ability to connect business questions to rigorous measurement solutions.
Preferred Experience
- Retail
- Restaurants / QSR
- Financial Services
- Pharmaceutical analytics experience is a plus.
What Success Looks Like
You'll thrive here if you:
- Are genuinely passionate about modeling and measurement science.
- Enjoy solving complex analytical challenges.
- Have a natural curiosity for emerging methodologies and AI-enabled analytics.
- Want to influence project direction through expertise rather than formal people management authority.
- Love mentoring others while continuing to deepen your own technical mastery.
Why Join Us
At dentsu, you'll work on enterprise-scale measurement programs spanning MMM, causal impact analysis, and machine learning attribution solutions for leading global brands. You'll join a collaborative environment where technical excellence is valued, innovation is encouraged, and your work directly influences client investment decisions. This is an opportunity for a true MMM specialist to remain deeply technical, shape the future of marketing measurement, and work alongside some of the industry's brightest minds.
Schedule
Employees who live within a commutable distance of one of our hub offices (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). Those who live outside a commutable range may be designated as remote, depending on the role and business needs.
Pay
The annual salary range for this position is $113,000 - $170,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits
- 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
- Paid parental leave
Dentsu also complies with applicable state and local laws regarding employee leave benefits.