Director, Data Engineering, ML & AI
Remote (United States)
R
USD 166K-215K (estimate) Executive-level Full Time
Tasks
- Build sustainability data models and analytics
- Champion responsible adoption of LLMs
- Define ML AI product roadmap
- Define department OKRs and strategic plan
- Develop production machine learning systems
- Drive data reliability and observability
- Enable portfolio analytics and scenario modeling
- Establish data contracts lineage and cataloging
- Evolve ETL ELT pipelines
- Implement MLOps monitoring and feature stores
- Lead data and AI team mentoring and performance
- Lead data platform strategy
- Manage vendor relationships and budgets
- Own data platform architecture
- Plan build vs buy for data and AI tooling
- Translate ESG regulatory frameworks into data products
Perks/Benefits
- 401k matching
- Bonus potential
- Flexible PTO
- Flexible work hours
- Fully remote
- HSA options
- Health & dental insurance
- Paid Holidays
- Pet insurance
- Phone and internet reimbursement
- Stock options
Skills/Tech-stack
Anomaly Detection | Apache Airflow | Apache Kafka | Apache Spark | Artificial Intelligence | CI/CD | DBT | Data Catalog | Data Engineering | Data Governance | Data Lineage | Data Observability | Data Quality | Data Reliability | Data platform | ELT | ETL | Experiment tracking | Feature Store | Generative AI | LLMs | MLOps | Machine Learning | Model Monitoring | NLP | OCR | Predictive Modeling | Snowflake | Warehouse
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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