Pharma Data Governance & AI Architect

Fractal Analytics; New York (NY); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) plan with company match

Paid holidays and parental leave

Generous PTO

Job summary

Fractal Analytics is seeking a Technical Life Sciences Consultant to drive AI-led transformations for Fortune 50 Life-sciences clients in New York and New Jersey, using enterprise-scale data and platform architectures on AWS and Databricks.

You will oversee end-to-end client management, program delivery, and architectural guidance to ensure scalable, secure, and cost-efficient solutions while aligning with modern data engineering and governance standards.

Qualifications

• 10+ years in AI, software development, data engineering, or data architecture.
• 5+ years in life-sciences consulting.
• Driven Modernization initiatives for AI products with AI Foundations, governance, operational layers, context layers.
• Strong experience with Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms, Data Vault 2.0.

Responsibilities

• Drive Senior client workshops, problem framing, solution framing.
• Driving e2e client advisory, opportunity creation, demand generation.
• Engage with business and technical teams to align architecture with requirements.
• Support RFP/RFI responses and architectural evaluations.

Skills

Python

SQL

Data governance

CI/CD

DevOps

Data modeling

Metadata

Cloud architectures

Leadership

Architecture

Education

10+ years in AI, software development, data engineering, or data architecture

5+ years in life-sciences consulting

Tools

Databricks

dbt Core/Cloud

Python

Spark

SQL

AWS services

Job description

Fractal Analytics is seeking a Technical Life Sciences Consultant to drive AI-led transformations for Fortune 50 Life-sciences clients in New York and New Jersey, using enterprise-scale data and platform architectures on AWS and Databricks.

You will oversee end-to-end client management, program delivery, and architectural guidance to ensure scalable, secure, and cost-efficient solutions while aligning with modern data engineering and governance standards.