Director, AI & Data Science (Marketing Measurement & Effectiveness)
Posted Updated 10
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Summary
Leads AI-driven marketing measurement and effectiveness initiatives, designing attribution models, experimentation frameworks, and GenAI applications to optimize campaigns, validate model outputs, and guide budget decisions for executives.
- Adapt measurement frameworks to privacy constraints
- Automate model diagnostics and insight generation
- Build statistical model architecture
- Conduct geo lift analysis
- Deploy genai and agentic applications in production
- Design experimentation and marketing optimization
- Develop attribution models
- Handle uncertainty and identification assumptions
- Lead and develop data science teams
- Lead marketing measurement programs
- Manage parallel analytics workstreams
- Own marketing mix modeling execution
- Perform incrementality testing
- Present and defend methodologies to executives
- Represent company with white papers and talks
- Set QA documentation and validation standards
- Shape solutions and support proposals
- Translate model output into budget decisions
- Unblock technical problems in production
- Validate and calibrate models
- Work in client cloud environment