Associate Director, Commercialization AI and Omnichannel Analytics
Tasks
- Analyze channel mix and customer behavior impact
- Apply quasi experiments and causal inference
- Create analytics roadmaps aligned to commercial priorities
- Define omnichannel KPI success metrics
- Design measurement frameworks for reach engagement and conversion
- Develop and deploy AI and machine learning optimization models
- Develop omnichannel measurement and optimization frameworks
- Develop omnichannel orchestration models
- Develop statistical econometric and machine learning models
- Ensure scalable automated analytics integrations
- Establish analytics governance data quality and model validation
- Implement next best action and next best engagement frameworks
- Influence stakeholders across commercial digital IT and analytics
- Lead field effectiveness analytics targeting and sizing
- Lead marketing mix modeling and econometric modeling
- Lead mentor and develop analysts and data scientists
- Lead test and learn strategies including A B testing
- Optimize message sequencing cadence and timing
- Optimize promotional spend for ROI and brand equity
- Provide AI enabled commercialization strategy guidance
- Stay current on generative AI commercialization use cases
- Translate results into executive recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Artificial Intelligence | B testing | Bayesian analysis | Causal Inference | Dashboards | Data Governance | Data Quality | Econometrics | Experimentation | Field Force Effectiveness | Generative AI | Machine Learning | Marketing Mix | Marketing Mix Modeling | Mix Modeling | Model Validation | Next Best Action | Next Best Engagement | Omnichannel analytics | Optimization | Python | Quasi-experimentation | R | R Shiny | Regression Analysis | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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