Sr. Manager, Commercial AI and Advanced Analytics
Princeton Pike - NJ, United States
R
USD 152K-184K Senior-level Full Time
Tasks
- Architect analytics agents and orchestration
- Build ETL data pipelines
- Build RAG knowledge pipelines
- Build feature stores and semantic layers
- Collaborate with bi and engineering stakeholders
- Conduct sensitivity analysis
- Define SLAs and RACI matrices
- Develop analytics dashboards
- Develop scenario simulation interfaces
- Enable self serve scenario analysis for business users
- Ensure AI explainability and auditability
- Establish analytical ready data layer
- Implement Privacy by Design
- Implement model validation frameworks
- Integrate Bayesian modeling techniques
- Integrate llm via api
- Lead agentic marketing mix modeling
- Lead change management and adoption tracking
- Maintain model documentation and lineage
- Monitor bias and implement human in the loop
- Run back testing and calibration checks
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Amazon Redshift | Azure OpenAI | Backtesting | Bayesian Modeling | Bias monitoring | CI/CD | Calibration | Causal Inference | Celery | Data Governance | Data schemas | Databricks | Docker | ETL | Explainable AI | Feature Stores | Geo-experiments | Git | Human-in-the-loop | Informed priors | LLM integration | MAP Estimation | MCMC | Marketing Mix | Marketing Mix Modeling | Markov Chain | Markov chain Monte Carlo | Matched Markets | Mix Modeling | Model Risk Management | Model Validation | Model risk | Monte Carlo | Multi-Agent | Multi-agent orchestration | NLP | NLU | Pandas | Plotly Dash | Polars | Pymc | Python | RAG | React.js | Redis | Risk Management | Scikit-learn | Semantic layers | Sensitivity Analysis | Streamlit | Synthetic controls | The Loop | Uplift Modeling
Education
Regions
Countries
States
Cities
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