Life Sciences AI Transformation Lead — End-to-End Value Chain

Accenture

Morristown (NJ)

On-site

USD 87,000 - 253,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is seeking a senior advisor in End-to-End Supply Chain & Engineering to lead transformations, partner with C-suite leaders, and drive value through AI-enabled insights. The role requires deep industry expertise, team leadership, and the ability to deliver scalable solutions across complex supply chains.

You will collaborate with executives to optimize operating models, analytics, and processes while guiding multi-disciplinary teams and contributing to business development for top

Qualifications

  • Minimum of 5 years of experience on Supply Chain transformation initiatives.
  • Minimum of 5 years of experience at a consulting firm or 7 years in internal consulting or equivalent.
  • Experience with AI technologies, including LLMs and agentic AI platforms.

Responsibilities

  • Work directly with business leaders to deliver actionable supply chain insights.
  • Address priority enterprise-wide issues with scalable strategies.
  • Spot, define, and solve supply chain problems across operations.
  • Mentor and coach teams; manage cross-functional collaborations.
  • Support client sales origination and external thought leadership.

Skills

Operating model architecture
Business analytics
Supply chain processes
Data analytics tools
Power BI
Tableau
Alteryx
Oracle
SAP

Education

Bachelor's degree or equivalent

Tools

Power BI
Tableau
Alteryx
Oracle
SAP

Job description

Accenture is seeking a senior advisor in End-to-End Supply Chain & Engineering to lead transformations, partner with C-suite leaders, and drive value through AI-enabled insights. The role requires deep industry expertise, team leadership, and the ability to deliver scalable solutions across complex supply chains.

You will collaborate with executives to optimize operating models, analytics, and processes while guiding multi-disciplinary teams and contributing to business development for top

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