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Associate Director AI (Princeton)
Associate Director AI (Princeton)Life Science Solutions Provider • Princeton, NJ, United States
No longer accepting applications
Associate Director AI (Princeton)

Associate Director AI (Princeton)

Life Science Solutions Provider • Princeton, NJ, United States
3 days ago
Job type
  • Full-time
Job description

Associate Director / AI, Life Science Solutions Provider, Princeton, 220k plus bonus, Hybrid Model

US CITIZEN OR GREEN CARD ONLY

NO CORP TO CORP

2 DAYS A WEEK ON SITE

MUST HAVE FIVE YEARS AI / DATA ANALYTICS

MUST HAVE PHARMA EXPERIENCE

MUST HAVE STRONG API / CLOUD SKILLSET

The ideal candidate will be responsible for defining and executing the digital technology roadmap, driving innovation, and leading high-performing engineering teams to deliver scalable, secure, and high-quality digital solutions.

Responsibilities :

  • Lead and manage the end-to-end digital engineering function, including software development, cloud architecture, DevOps, and emerging technologies.
  • Design and implement strategic digital initiatives aligned with business goals and technology vision.
  • Establish and enforce engineering best practices, coding standards, and governance frameworks.
  • Collaborate with product, data, and business teams to translate business requirements into scalable technical solutions.
  • Drive innovation in digital platforms using AI / ML, cloud-native solutions, microservices, and modern software architectures.
  • Lead cross-functional teams and mentor senior engineering managers and technical leads.
  • Ensure high-quality delivery through robust CI / CD pipelines, automated testing, and performance monitoring.
  • Manage budgeting, resource planning, and vendor relationships for digital engineering projects.
  • Stay ahead of industry trends and emerging technologies to ensure the company maintains a competitive edge.
  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • 15+ years in software engineering, digital technology, or related domains, with at least 57 years in senior leadership roles.
  • Proven experience in leading large-scale digital transformation programs and engineering teams.

Strong expertise in cloud platforms (AWS, Azure, GCP), microservices architecture, AI / ML integration, API-first development, and DevOps practices

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