Technical Life Sciences Consultant, Pharma (Data Governance)
Core
Technical Life Sciences Consultant driving AI-led business transformations and data governance for Fortune 50 Life Sciences clients.
Role type
Senior IC Technical Consultant (Data Governance & AI Architecture)
Builds
Scalable, secure, and cost-efficient cloud-native data platforms and AI solutions on AWS and Databricks.
Domain
Life Sciences / Pharma / Cloud Data Engineering / AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data governance frameworks, Data Vault 2.0, AWS services (S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis), Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms, CI/CD pipelines, metadata management, data lineage, data quality standards, cloud migration patterns, observability frameworks.
Preferred skills
Life sciences domain expertise, executive presence for VP/Exec Director level meetings, thought leadership in technical visioning.
Responsibilities
Drive senior client workshops and problem framing; define and enforce data modeling, metadata, lineage, and quality standards; architect end-to-end solutions on AWS and Databricks; review and guide solution designs for scalability, performance, and security; translate business requirements into scalable data models; assess current-state architectures and define future-state models.
Seniority
Senior, hands-on IC with strategic advisory capabilities
