Staff AI Data Transformation Architect
Core
Lead the strategic roadmap and operational backbone for company-wide AI data enablement, transforming scattered pilots into scalable, safe, everyday practice across data, product, and engineering functions.
Role type
Staff AI Data Transformation Architect (Senior IC)
Builds
Company-wide AI operating model, shared tooling, evaluation frameworks, and a trusted data layer for LLM-powered reporting and Agentic AI.
Domain
Health tech / AI Data Engineering / Enterprise AI Strategy
Deliverable
production ML models
Required skills
Enterprise AI strategy, LLM implementation patterns, AI tool administration, enterprise data platforms (lakehouse), role-based access control, stakeholder influence, SOP/playbook creation, data readiness assessment, vendor strategy, FinOps.
Preferred skills
Databricks certification, data mesh principles, ML workflows (MLflow, Feature Store), dbt, Cloud/AI token FinOps, Databricks Lakehouse Federation, MLOps frameworks, Agentic AI design, scripting/automation.
Technologies
Databricks, AWS, LLMs, RAG, Vector databases, MLflow, Feature Store, dbt, Python, Shell.
Responsibilities
Define and own the Data AI enablement roadmap; Build operating models for repeatable adoption; Establish shared evaluation frameworks; Drive build-vs-buy decisions for AI tooling; Own the AI tool estate end-to-end; Hold the governance line with Security/Privacy/Legal; Keep AI spend efficient; Architect Data AI strategy leveraging Databricks and AWS; Lead design of machine-readable contracts and vector-based architectures; Partner with data teams to remediate data readiness; Drive workflow redesign with functional leaders; Build internal AI fluency through training and documentation.
Seniority
Staff, hands-on IC with company-wide scope
