AI Solutions Lead — Life Sciences Data & Cloud Architect

Fractal; New York (NY); On-site; USD 162,000 - 198,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

11 paid holidays

Parental leave (12 weeks)

401(k) plan

Job summary

Fractal in New York/New Jersey seeks a Technical Engagement Manager, Life-sciences, to lead AI-driven transformations for Fortune 50 clients using AWS and Databricks. You will coordinate with engineering, data product owners, and business stakeholders to shape scalable, secure data platforms.

Responsibilities include driving client workshops, architecture reviews, and governance across multi-team delivery. This is a full-time role with strong growth and impact in life-sciences analytics.

Qualifications

• 10+ years in AI, software development, data engineering, or data architecture.
• 5+ years in life-sciences consulting.
• Modernization initiatives for AI products with governance and data layers.
• Experience with Databricks, dbt, Python, Spark and SQL.
• Deep experience with AWS services (S3, Glue, Redshift, EMR, Lambda).

Responsibilities

• Lead senior client workshops and opportunity framing.
• Drive end-to-end client advisory, demand generation, and RFP responses.
• Align architecture with requirements across business and technical teams.
• Review designs for scalability, performance, and security.
• Define architectural standards and long-term strategies.

Skills

Executive presence

Stakeholder engagement

Problem framing

Architectural thinking

Cloud architecture

Tools

Databricks

dbt Core/Cloud

Python

Spark

SQL

AWS services

Job description

Fractal in New York/New Jersey seeks a Technical Engagement Manager, Life-sciences, to lead AI-driven transformations for Fortune 50 clients using AWS and Databricks. You will coordinate with engineering, data product owners, and business stakeholders to shape scalable, secure data platforms.

Responsibilities include driving client workshops, architecture reviews, and governance across multi-team delivery. This is a full-time role with strong growth and impact in life-sciences analytics.