Director, Marketing Experimentation

As part of the Performance Marketing organization, Marketing Experimentation is a key leadership position implementing the development and roll out of world class performance marketing capabilities. This individual possesses a deep understanding of marketing analytics, testing, measurement and strategic insights. In addition, he has spent time within the marketing science / measurement teams of one of the big global ad publishers like Meta, Google or Amazon.

Key Roles and Responsibilities

• Lead the Experimentation team providing technical expertise, road maps, workflow process management and prioritization
• Champion experimentation across the biggest publishers and channels for performance marketing driving data science programs and capabilities with the objective of delivering incremental ROI on money spent
• Work cross functionally with senior management across the company to drive alignment with objectives and work streams
• Grow capabilities and influence of the team with constantly delivered ROI
• Lead in-depth analysis and presentation of insights to various teams and drive changes in measurement and attribution

Candidate Profile

• Proven track record of leading Marketing Science, Experimentation or Insights at one of the top three global publishers / platforms
• Expert knowledge of advanced experimentation techniques that drive a high-volume experimentation environment
• Excellent stakeholder management skills. A highly effective cross communicator in both written and verbal skills
• Extensive client facing and senior leadership presentation experience
• Demonstrated experience in building enterprise roadmap and working with senior leadership to drive alignment.
• Experience with media budget allocation and optimization is necessary.
• Expert and strong record in data management, marketing analytics, advanced statistical methods, and Machine Learning techniques.
• Master’s or Ph.D. degree in an analytical field is a plus (Economics, Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics)
• Experience in the ad or marketing tech industry, or a market research company a plus.