Sr. Manager, Commercial AI and Advanced Analytics
Princeton Pike - NJ, United States
USD 152K-184K Senior-level Full Time
Tasks
- Architect autonomous analytics agents
- Build RAG pipelines
- Build guided scenario simulation tools
- Build scalable ETL pipelines
- Champion automation and platformization
- Coordinate multi-agent workflows
- Create analytics ready datasets feature stores semantic layers
- Define SLAs and RACI matrices
- Define data governance and business rules
- Develop analytics dashboards
- Develop interactive chatbot interfaces
- Enable self serve scenario analyses
- Ensure explainable auditable compliant AI
- Establish analytical ready data foundation
- Implement human-in-the-loop mechanisms
- Implement model validation frameworks
- Integrate Azure OpenAI LLMs
- Integrate Bayesian modeling techniques
- Lead agentic AI marketing mix modeling
- Lead change management adoption tracking
- Maintain model documentation and lineage
- Monitor outputs for bias
- Orchestrate MCMC parallel chains
- Partner with BI and Data Science teams
- Perform sensitivity analysis
- Run back testing and calibration checks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Redshift | Agent Orchestration | Back Testing | Bayesian Modeling | Bias monitoring | CI/CD | Calibration | Causal Inference | Celery | Dashboards | Data Governance | Data Lineage | Databricks | Docker | ETL | Feature Stores | Geo-experiments | Git | Human-in-the-loop | LLM integration | Marketing Mix | Marketing Mix Modeling | Matched Markets | Mix Modeling | Model Risk Management | Model Validation | Model risk | Multi-Agent | Multi-agent orchestration | NLP | NLU | Pandas | Plotly Dash | Polars | Pymc | Python | RAG | React.js | Redis | Responsible AI | Risk Management | SQL | Scikit-learn | Semantic layers | Sensitivity Analysis | Streamlit | Synthetic controls | The Loop | Uplift Modeling
Education
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