This role shapes and evolves the data landscape across the clinical automation and AI program to strengthen the enterprise data foundation
Job Summary
This role shapes and evolves the data landscape across the clinical automation and AI program to strengthen the enterprise data foundation.
The position balances strategic vision with hands-on execution, requiring the candidate to build actual data pipelines rather than just creating diagrams.
Candidates must demonstrate solid hands-on expertise in front-end, back-end, and cloud development while leading teams of experienced cloud full stack developers.
Matching Summary
This role shapes and evolves the data landscape across the clinical automation and AI program to strengthen the enterprise data foundation.
Skills & Requirements
Must-have
10+ years data engineering experience
Expert AWS S3 Glue Athena Redshift
Python PySpark data pipeline development
ReactJS NodeJS cloud full stack skills
Enterprise data governance frameworks
AI/ML data readiness and quality standards
Nice-to-have
Experience in regulated healthcare industries
Knowledge of data mesh or fabric patterns
Familiarity with micro-frontends architecture
Background in statistical computing domains
Experience with clinical trial data systems
Key Requirements
10+ years in data engineering or architecture leadership
Deep expertise in data governance and metadata systems
Proven track record designing enterprise data strategies at scale
Strong vendor management and stakeholder consensus building skills