Global Associate Director, Marketing Science

Client Relationship Management

Present findings, insights, and methodological approaches to clients across a variety of presentation opportunities.

Team Operations

Connect across planning, strategy, investment, and technology teams to ensure a holistic understanding of data.

Audience Discovery and Strategy

Develop fluency in audience definition, creation, and strategy using multiple data sources.

Measurement and Reporting

Develop measurement strategies and frameworks, set benchmarks based on historical campaign data, oversee reporting, and surface actionable insights.

Data Strategy and Technology

Build advanced dashboards in visualization tools such as PowerBI and Tableau. Contribute to the Data and Technology Test and Learn roadmap, helping prioritize initiatives tied to business impact.

Thought Leadership

Draft POVs and internal thought leadership on emerging technologies, platforms, and data capabilities. Stay current on industry trends through ongoing research and training.

External-Facing Responsibilities

• Build a deep understanding of the client’s strategic priorities, key initiatives, and competitive positioning.
• Construct clear, compelling, and actionable narratives using sophisticated analytics techniques.
• Participate in measurement plan development and execution, including marketing mix modeling and unified measurement approaches.
• Ensure timely delivery of all scheduled and ad hoc deliverables.
• Recommend and implement research to support consumer insight gathering and strategic planning.
• Identify opportunities to continuously improve processes.
• Lead, mentor, and develop analysts and managers.
• Present reports, POVs, and other materials to clients regularly, both remotely and in person.
• Contribute to consumer segmentation and audience identification processes.
• Design tests to measure the incremental impact of media on business outcomes.
• Integrate technology initiatives into the broader learning agenda, ensuring insights ladder up to measurable business outcomes.

Desired Experience

• Experience partnering with mid-level and junior clients on key deliverables.
• Prior management of teams of 1 or more Marketing Science staff, including Associate Manager and Senior Analyst levels.
• Broad experience with behavioral data and syndicated research data sources, including 1st and 3rd party data solutions.
• Solid understanding of offline and online channel KPIs across cross-channel analytics.
• Application of statistical methods to data analysis, including marketing mix modeling.
• Strong foundation in media strategy, budget setting, and channel selection.
• Experience managing or applying advanced analytics and statistical methods using code.
• Familiarity with AI/ML concepts and their application to marketing measurement.
• Working knowledge of privacy regulations, signal loss challenges (cookie deprecation, ID graphs), and data compliance best practices.
• Experience creating documentation and developing repeatable, scalable processes.

Desired Technical Skills

• Strong proficiency in MS Excel and PowerPoint/Keynote.
• Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.).
• Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRI, LiveRamp).
• Syndicated research tools (GfK, MRI, Simmons, Scarborough, IMS, Nielsen, comScore).
• Cross-media brand lift research tools (Kantar, Lucid, etc.).
• Data visualization tools: Power BI (preferred), Tableau, Datorama, Alteryx.
• Database design concepts and SQL.

Requirements

• 5 to 7+ years of experience, preferably in marketing analytics.
• Demonstrated knowledge in audience-based marketing and data-driven advertising.
• Strong analytical and critical thinking skills with the ability to clarify and resolve strategic and operational issues related to data.
• Proven leadership ability and strong client relationship experience.
• Excellent communication and presentation skills; ability to translate complex data findings into clear, compelling marketing strategies.
• Familiarity with current data privacy regulations and evolving identity solutions.
• Comfortable working in ambiguous situations.
• Ability to think logically and apply quantitative techniques to problems such as campaign analysis, optimization, data management, and predictive modeling.
• Bachelor’s degree in math, economics, engineering, social sciences, finance, or business/marketing.
• Agency-side media campaign planning experience is a plus.

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• 401(k)
• Healthcare Flexible Spending Account
• Dependent Care Flexible Spending Account
• Vacation days
• Sick days
• Personal days
• Paid parental leave
• Paid medical leave
• STD/LTD insurance benefits

Pay Range

$130,000—$135,000 USD

Work Schedule

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.