Head of Data & Analytics (AI Native)
USD 180K-229K (estimate) Executive-level Full Time
Tasks
- Build and lead multidisciplinary data organization
- Build data pipelines
- Build foundations for agentic AI systems
- Build semantic layer
- Define and track impact metrics
- Define execute roadmap for AI native data platform
- Deliver scenario simulation and planning capabilities
- Design evolve modern data stack
- Develop deploy anomaly detection and automated insight systems
- Develop generative AI copilots automated reporting and content insights
- Develop predictive models forecasting ROAS optimization churn and inventory planning
- Develop recommendation systems
- Drive LLM powered analytics adoption using NL2SQL conversational BI and insight generation
- Drive adoption of AI powered self serve analytics and copilots
- Enable proactive alerts recommendations and decision support tools
- Ensure scalability reliability and cost efficiency
- Establish data governance privacy security quality lineage and cataloging
- Evolve dashboarding into proactive insights autonomous intelligence
- Identify prioritize high impact ML GenAI and agentic workflows
- Implement real time and streaming data use cases
- Own end to end data analytics and AI strategy
- Reduce dependency on central analytics teams
- Standardize metrics via semantic layer adoption
Perks/Benefits
Skills/Tech-stack
AI orchestration | Airflow | Anomaly Detection | Apache Superset | BigQuery | Causal Inference | Churn Prediction | Cube.dev | DBT | Data Cataloging | Data Governance | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Security | Experimentation Frameworks | Feature Stores | Forecasting | Generative AI | Inventory Planning | LLMs | Looker Studio | MLOps | Machine Learning | Nl2sql | Optimization | Predictive Analytics | RAG | Recommendation Systems | RoAS Optimization | Starrocks | Streaming Data | Vector Databases | Vector Search
Education
N/A
Regions
Countries
States
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