Technical Life Sciences Consultant (AI & Data Platforms)

Job Summary

We are seeking an experienced Technical Life Sciences Consultant to lead AI-driven digital transformation initiatives for enterprise Life Sciences clients. The ideal candidate will have deep expertise in cloud-native data platforms, AI modernization, AWS, Databricks, and enterprise data architecture. This role requires strong client-facing consulting experience, technical leadership, and the ability to design scalable, secure, and high-performance data solutions.

Key Responsibilities

• Lead client workshops, solution architecture, and technical consulting engagements.
• Design and implement scalable data platforms using AWS and Databricks.
• Drive AI modernization initiatives, data platform transformation, and cloud migration projects.
• Define enterprise architecture standards, data models, governance, metadata, lineage, and data quality frameworks.
• Build and optimize ETL/ELT pipelines using Python, Spark, SQL, and dbt.
• Implement CI/CD pipelines, monitoring, observability, and DevOps best practices.
• Collaborate with business stakeholders, engineering teams, and data product owners to deliver enterprise-scale solutions.
• Support RFP/RFI responses and provide technical leadership throughout project delivery.

Required Qualifications

• 10+ years of experience in AI, Software Development, Data Engineering, or Data Architecture.
• 5+ years of consulting experience within the Life Sciences/Pharmaceutical industry.
• Proven experience leading AI modernization and enterprise data platform initiatives.
• Strong hands-on experience with:
• Databricks
• dbt Core or dbt Cloud
• Python
• Apache Spark
• SQL
• Data Vault 2.0 (including automate_dv)
• Strong knowledge of AWS services including:
• S3
• Glue
• Redshift
• EMR
• DynamoDB
• Lambda
• Athena
• Kinesis
• Experience with distributed computing, cloud migration, metadata management, data governance, and enterprise data modeling.
• Excellent communication and stakeholder management skills with experience working directly with executive leadership.

Preferred Qualifications

• Experience working with Fortune 500 Life Sciences organizations.
• Knowledge of AI foundations, operational layers (L1/L2/L3), ontology, and contextual data models.
• Experience with self-service analytics and modern enterprise data platforms.

Work Authorization

• U.S. Citizens or Green Card Holders only.

Pay: $120,000.00 - $150,000.00 per year

Work Location: On the road