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
