Associate Director of Data and Modeling

Technical Strategy and Stewardship:

• Set the technical direction for data platforms, AI/ML systems, scientific computing environments, and modeling capabilities.
• Establish reference architectures and reusable implementation patterns that balance experimentation with long-term sustainability.

Production Data Platforms:

• Guide the design and operation of data systems that ingest, transform, harmonize, and serve large, heterogeneous scientific datasets.
• Build repeatable approaches for data quality, validation, lineage, versioning, and documentation.

AI/ML and Emerging Methods:

• Lead development of AI/ML capabilities including predictive modeling, NLP, LLMs, and agentic workflows.
• Ensure thoughtful evaluation, traceability, privacy safeguards, and ongoing monitoring.

Modeling, Simulation, and Scientific Computing:

• Build a sustainable modeling and simulation practice with standards for reproducible workflows and scientific validation.
• Partner effectively with domain experts and establish compute strategy and versioned environments.