Director Life Science

Antal International; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Antal International in New York/New Jersey is seeking a Senior Life Sciences Data Architect to drive AI-led transformations for Fortune 50 pharmaceutical clients. You will bridge enterprise AI architectures with business strategy and act as liaison between executives and engineering teams.

The role requires 10+ years in AI, data engineering or data architecture, with 5+ years in Life Sciences consulting, plus deep hands-on experience with Databricks and AWS services, dbt, Python, Spark, SQL, and

Qualifications

• 10+ years in AI, data engineering, software development, or data architecture.
• At least 5+ years dedicated to Life Sciences consulting.
• Experience leading VP/Executive Director-level steering committees and RFPs/RFIs.

Responsibilities

• End-to-end advisory and technical leadership for AI-led transformations.
• Bridge executive stakeholders, data product owners, and on/offshore engineering teams.
• Translate complex analytics requirements into scalable cloud-native architectures.

Skills

Executive presence

Stakeholder leadership

Strategic thinking

Problem solving

Tools

Databricks

S3

Glue

Redshift

EMR

DynamoDB

Lambda

Athena

Kinesis

dbt

Python

Spark

SQL

Data Vault 2.0

automate_dv

Job description

Are you a senior Life Sciences Data Architect who excels at bridging the gap between complex enterprise AI architectures and high-level business strategy?

I am currently partnering with a global AI and analytics leader to identify a Technical Life Sciences Consultant / Business Translator to drive high-impact, AI-led transformations for Fortune 50 Pharmaceutical clients across New York and New Jersey.

This is an end-to-end advisory and technical leadership role. You will act as the key liaison between executive stakeholders, data product owners, and offshore/onsite engineering teams—translating complex analytical requirements into scalable, cloud-native architectures.

Key Requirements:

• Experience: 10+ years in AI, data engineering, software development, or data architecture, with at least 5+ years dedicated to Life Sciences consulting.
• Domain Focus: Proven success driving modernization initiatives for AI products, including AI foundations, governance, operational layers (L1–L3), ontology, and context layers.
• Technical Stack: Deep expertise with Databricks, AWS services (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis), dbt, Python, Spark, SQL, and Data Vault 2.0 (including automate_dv).
• Leadership: Strong executive presence with experience leading VP and Executive Director-level steering committees, driving RFPs/RFIs, and framing complex client solutions.
• Work Authorization: Must be a US Citizen or Green Card holder (sponsorship is not available for this position).

If you are passionate about defining modern data platform standards and guiding technical execution in the pharmaceutical sector, I would welcome the opportunity to connect.

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