Technical Life Sciences Consultant AI & Data Architecture

Role Name :Technical Life Sciences Consultant AI & Data Architecture

Location: New York / New Jersey

Visa:

Employment Type: Full-Time

Role Overview

Seeking a Technical Life Sciences Consultant to drive AI, data, and cloud modernization initiatives for enterprise Life Sciences clients using AWS and Databricks.

Key Responsibilities

Lead client workshops, solution framing, technical advisory, and architecture discussions.

Drive AI and data platform modernization initiatives.

Design scalable architectures using AWS and Databricks.

Translate business and analytical requirements into data models and technical solutions.

Establish data governance, metadata, lineage, quality, and architecture standards.

Guide data engineering, cloud migration, CI/CD, monitoring, observability, and cost optimization initiatives.

Lead technical teams across onsite/offshore delivery models.

Present to senior stakeholders and executive-level clients.

Required Skills

10+ years in AI, Software Development, Data Engineering, or Data Architecture.

5+ years of Life Sciences consulting experience.

Strong experience with Databricks, dbt, Python, Spark, and SQL.

Strong understanding of distributed computing and MPP architectures.

Data Vault 2.0 / automate_dv experience.

Strong AWS experience with S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis.

Experience with AI foundations, governance, operational layers, and context/ontology layers.

Strong communication, client management, architecture, and leadership skills.

Preferred

Experience with modern data platforms, cloud migration, CI/CD, DevOps, data governance, observability, and enterprise AI/analytics modernization.