Senior Technical Lead - Quality Systems & AI Automation

BioSpace

Lebanon (IN)

Sur place

USD 129 000 - 231 000

Plein temps

Il y a 10 heures
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Résumé du poste

Lilly Medicine Foundry in Indianapolis, Indiana, is seeking a Senior Technical Leader to own the technical roadmap for Quality process automation, AI enablement, and GMP readiness. You will balance hands-on engineering with leadership across Technology, process science, engineering, operations, and quality stakeholders.

You will prototype and implement AI/ML use cases for quality workflows, manage CI/CD pipelines, and ensure compliant digital solutions across JIRA, ALM, GitHub.

Qualifications

  • Bachelor’s degree in a relevant field with 5+ years in GMP‑regulated quality, validation or tech roles.
  • Experience leading CSV/CSA activities in GMP environments (GMP/GLP/GCP).
  • Demonstrated technical leadership across digital quality systems and AI/Analytics solutions.

Responsabilités

  • Own the technical roadmap and architecture standards for digital transformation and Quality process automation.
  • Expand SME knowledge of Digital Forms, Global QMS systems, and Quality AI/Analytics with Global/PRD teams.
  • Lead test automation strategy and CI/CD pipelines using JIRA, ALM, GitHub.
  • Drive digital innovation in Quality through AI adoption and automation across Lilly teams.
  • Collaborate across CTI and M&Q to solicit and coordinate innovative digital initiatives.

Connaissances

Technical leadership
GxP compliance
AI/Automation
Test automation
CI/CD
JIRA
ALM
GitHub
Cross-functional collaboration

Formation

Bachelor's degree

Outils

JIRA
ALM
GitHub
Digital Forms
Global QMS

Description du poste

Lilly Medicine Foundry in Indianapolis, Indiana, is seeking a Senior Technical Leader to own the technical roadmap for Quality process automation, AI enablement, and GMP readiness. You will balance hands-on engineering with leadership across Technology, process science, engineering, operations, and quality stakeholders.

You will prototype and implement AI/ML use cases for quality workflows, manage CI/CD pipelines, and ensure compliant digital solutions across JIRA, ALM, GitHub.

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