AVP, AI & Data — Manufacturing Digital Transformation

Deloitte France

Minneapolis (MN)

On-site

USD 172,000 - 338,000

Full time

9 days ago
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Job summary

Deloitte invites you to join its AI & Data practice to lead engagements transforming manufacturing and quality operations for Life Sciences clients. You will shape AI, data, and digital solution designs that connect processes with enabling data foundations, driving measurable value.

Ideal candidates bring 8+ years in data/AI, 6+ years in Life Sciences, and a track record of leading complex technology programs. Travel ~50% and senior leadership collaboration are expected.

Qualifications

  • 8+ years in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 6+ years in Life Sciences or pharmaceutical manufacturing, quality, or operational transformation
  • 6+ years with MES, QMS, LIMS, ERP, or PLM platforms
  • 4+ years leading, managing, and delivering complex technology engagements

Responsibilities

  • Lead AI & Data engagements focused on manufacturing and digital operations transformation for Life Sciences clients.
  • Translate manufacturing and quality business needs into scalable AI, data, and digital solution designs.
  • Manage day-to-day client interactions, budgets, staffing, and risk.
  • Develop proposals and pricing strategies; mentor practitioners.

Skills

Enterprise data architecture
Data strategy
Analytics
AI/ML
Digital transformation

Education

Bachelor's degree (CS/Engineering/Data Science/AI)

Tools

MES
QMS
LIMS
ERP
PLM

Job description

Deloitte invites you to join its AI & Data practice to lead engagements transforming manufacturing and quality operations for Life Sciences clients. You will shape AI, data, and digital solution designs that connect processes with enabling data foundations, driving measurable value.

Ideal candidates bring 8+ years in data/AI, 6+ years in Life Sciences, and a track record of leading complex technology programs. Travel ~50% and senior leadership collaboration are expected.

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