Director, AI & Data Science (Marketing Measurement & Effectiveness)

- Adapt measurement frameworks to privacy constraints - Build and deploy genai and agentic applications in production - Build statistical modeling architecture and validation - Calibrate models using live experimental results - Create automated model diagnostics and insight generation - Define reusable measurement offerings and accelerators - Design execute and interpret marketing experimentation and optimization - Develop and deploy analyst copilots and conversational access to results - Lead and develop data scientists and analysts across workstreams - Lead marketing measurement and effectiveness programs - Manage uncertainty and identification assumptions - Own marketing mix modeling incrementality and attribution - Provide executive grade communication to defend methodology - Represent the company through white papers and conference talks - Set delivery standards reproducibility documentation QA validation - Shape solutions support proposals and scope new work - Translate model output into budget allocation and media investment decisions - Work with engineers to review code and unblock technical issues