Technical Life Sciences Consultant, Pharma (Business Translator)
Core
Drive AI-led business transformations for Fortune 50 Life-sciences clients by designing scalable, secure, and cost-efficient cloud-native data platforms and modernizing enterprise data architectures.
Role type
Senior Technical Life Sciences Consultant (AI & Data Architecture)
Builds
Enterprise-scale data platforms, modernized data models, and AI/ML solutions for Life-sciences clients
Domain
Life Sciences / Pharma / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
AI architecture, data engineering, life-sciences domain expertise, AWS services, Databricks, dbt, Python, Spark, SQL, Data Vault 2.0, CI/CD, DevOps, data governance, metadata management, data lineage, observability, cost optimization
Preferred skills
Executive presence, thought leadership, multi-team delivery management, self-service analytics design, cloud migration patterns
Technologies
AWS (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis), Databricks, dbt Core/Cloud, Python, Spark, SQL, Data Vault 2.0
Responsibilities
Drive senior client workshops and problem framing; Engage with business and technical teams to align architecture with requirements; Define and enforce data modeling, metadata, lineage, and quality standards; Review and guide solution designs for scalability, performance, and security; Evaluate technology options and recommend long-term architectural strategies; Implement CI/CD pipelines and monitoring frameworks
Seniority
Senior, hands-on IC with executive presence
