Associate Director, Commercialization AI and Omnichannel Analytics
Tasks
- Analyze channel mix and customer behavior impact
- Apply causal inference and quasi experiments
- Build omnichannel measurement and optimization frameworks
- Conduct customer and segment level channel analysis
- Define KPI metrics and success measures
- Design measurement frameworks for reach engagement and conversion
- Develop analytics roadmaps aligned to commercial priorities
- Develop and deploy machine learning and statistical models
- Develop omnichannel orchestration models
- Ensure scalable automated analytics integration
- Establish analytics governance data quality and model validation
- Lead AI enabled omnichannel strategy
- Lead marketing mix modeling
- Lead test and learn strategy including A B testing
- Mentor and develop analysts and data scientists
- Optimize next best action and next best engagement
- Optimize promotional spend for ROI and brand equity
- Perform econometric modeling and budget optimization
- Support field effectiveness using AI and predictive analytics
- Translate analytics into executive recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | B testing | Bayesian Methods | Causal Inference | Dash | Data Governance | Data Quality | Econometrics | Experimentation | Field Force Effectiveness | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Model Validation | Next Best Action | Next Best Engagement | Omnichannel analytics | Optimization | Predictive Analytics | Python | Quasi-Experiments | R | R Shiny | Regression Analysis | SQL
Education
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