Sr. Manager, Commercial AI and Advanced Analytics
Princeton Pike - NJ, United States
USD 152K-184K Senior-level Full Time
Tasks
- Architect analytics agents
- Build ETL data pipelines
- Build RAG pipelines
- Build chatbot scenario interfaces
- Conduct sensitivity analyses
- Coordinate responsible AI compliance
- Create governed data schemas
- Define SLAs and RACI matrices
- Deliver analytics-ready datasets
- Develop analytics dashboards
- Develop narrative insights with LLMs
- Develop spend ROI forecasting tools
- Document model lineage
- Enable non technical self serve analytics
- Establish analytical ready data layer
- Implement model validation frameworks
- Integrate Bayesian modeling techniques
- Lead agentic marketing mix modeling
- Lead change management adoption tracking
- Monitor bias and model outputs
- Orchestrate multi-agent workflows
- Perform calibration checks
- Run back testing routines
- Standardize feature stores and semantic layers
Perks/Benefits
- Career development opportunities
- Employee assistance program
- Flexible work arrangements
- Health and wellness programs
Skills/Tech-stack
AWS Redshift | Agent Orchestration | Back Testing | Bayesian Modeling | Bias monitoring | CI/CD | Calibration | Causal Inference | Celery | Data Governance | Data Pipelines | Databricks | Deep learning | Docker | ETL | Explainable AI | Geo-experiments | Git | Human-in-the-loop | LLM integration | Language Models | Language Processing | Large Language Models | Machine Learning | Marketing Mix | Marketing Mix Modeling | Matched Markets | Mix Modeling | Model Risk Management | Model Validation | Model risk | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Pandas | Plotly Dash | Polars | Pymc | Python | RAG | React.js | Redis | Risk Management | Scikit-learn | Sensitivity Analysis | Streamlit | Synthetic controls | Task Orchestration | The Loop | Uplift Modeling
Education
Regions
Countries
States
Cities
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