AI & Data Avp, Supply Chain (life Sciences/pharma)

The Associate Vice President (AVP) for AI & Data in Supply Chain (Life Sciences/Pharma) at Deloitte will lead AI and data engagements focused on transforming supply chain operations for clients in the Life Sciences and Pharma sectors. This role involves shaping and delivering use cases for forecasting, inventory optimization, network visibility, planning analytics, intelligent automation, and control tower capabilities. The AVP will translate business problems into scalable AI/data solutions, work across strategy, product, data, and engineering teams, and advise clients on AI-enabled transformation roadmaps. Responsibilities include engagement leadership, planning, budgeting, client management, business development, and mentoring junior practitioners. The role requires significant experience in enterprise data architecture, analytics, AI/ML, digital transformation, and specific supply chain platforms within the Life Sciences/Pharma industry.

What you'd actually do

  1. Lead AI & Data engagements for Life Sciences / Pharma clients, with emphasis on supply chain transformation, analytics, and digital enablement.
  2. Shape and deliver use cases across forecasting, inventory optimization, network visibility, planning analytics, intelligent automation, and control tower capabilities.
  3. Translate business problems into scalable AI, data, and digital solutions.
  4. Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans.
  5. Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation.

Skills

Required

  • Enterprise data architecture
  • Data strategy
  • Analytics
  • AI/ML
  • Digital transformation
  • Life Sciences supply chain transformation
  • Pharmaceutical supply chain transformation
  • Supply chain platforms (SAP, Kinaxis, o9, Oracle, Blue Yonder)
  • Engagement leadership
  • Client stakeholder management
  • Business development
  • Mentoring

What the JD emphasized

  • 8+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 6+ years of experience in Life Sciences or pharmaceutical supply chain transformation projects
  • 6+ years of experience with supply chain platforms such as SAP, Kinaxis, o9, Oracle, or Blue Yonder
  • 4+ years of experience leading, managing, and delivering complex technology engagements

Other signals

  • AI/ML
  • supply chain transformation
  • forecasting
  • inventory optimization
  • intelligent automation