Director, US Commercial AI & Advanced Analytics
Princeton Pike - NJ, United States
USD 197K-239K Executive-level Full Time
Tasks
- Adopt feature stores and MLOps standards
- Apply experimentation and causal inference to quantify impact
- Automate marketing mix key driver analysis and budget optimization
- Deliver AI driven measurement scenario planning and optimization
- Deliver production ready analytics solutions with global engineering teams
- Deliver self service dashboards and automated insights
- Deploy and enhance marketing mix platforms and brand analytics
- Drive marketing mix measurement
- Ensure AI explainability documentation monitoring and human in the loop controls
- Execute analytics and AI solutions under governance privacy and compliance
- Integrate analytics into annual planning budgeting and media strategy
- Leverage analytics ready datasets and standardized data products
- Manage and develop analytics professionals
- Operate within hub and spoke delivery model
- Operationalize analytics and AI into business workflows
- Oversee media performance measurement and resource allocation
- Provide always on role based actionable insights
- Provide analytics platforms tools and advanced analytical capabilities
- Reinforce KPI methodology and analytics storytelling standards
- Support adoption through training and change management
- Translate complex analytics into business focused recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Adstock | Agentic AI | B testing | Bayesian Modeling | Business Intelligence | CCPA | Causal Inference | Data Privacy | Databricks | Driver analysis | Econometrics | Experiment design | Feature Stores | GDPR | HIPAA | Hierarchical modeling | Incrementality Measurement | Key driver analysis | LLMs | Lag Models | MLOps | Marketing Mix | Marketing Mix Modeling | Mix Modeling | RAG | Saturation Models | Snowflake | Uplift Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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