AI Transformation Lead, Life Sciences Value Chain

Accenture

Beaverton (OR)

On-site

USD 87,000 - 253,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision insurance
401(k) plan
Bonus opportunities
Paid holidays & time off

Job summary

Accenture in the United States seeks a seasoned supply chain advisor to work with business leaders, delivering actionable insights and scalable strategies that drive growth and resilience. This role emphasizes AI-enabled analytics, operating-model design, process optimization, and mentoring diverse teams; 10–75% travel is expected.

You will help address enterprise-wide issues with speed and scale and engage in client-facing thought leadership.

Qualifications

  • Bachelor's degree required or equivalent work experience.
  • Minimum of 5 years of experience on supply chain transformation initiatives or 7 years in internal consulting or equivalent.
  • Experience with Artificial Intelligence technologies, including Large Language Models and agentic AI platforms.

Responsibilities

  • Work directly with business leaders to deliver actionable supply chain insights for top organizations.
  • Help address priority enterprise-wide issues with strategies that can be executed with speed and at scale.
  • Spot, define, and solve supply chain problems using operating model architecture, analytics, and processes.
  • Provide clients with insights that help operations run more efficiently and with greater resiliency.
  • Mentor and coach teams, and support client sales origination and thought leadership.

Skills

Supply chain transformation
AI technologies
Leadership & team management
Client engagement

Education

Bachelor's degree or equivalent

Tools

Power BI
Tableau
Alteryx
Oracle
SAP

Job description

Accenture in the United States seeks a seasoned supply chain advisor to work with business leaders, delivering actionable insights and scalable strategies that drive growth and resilience. This role emphasizes AI-enabled analytics, operating-model design, process optimization, and mentoring diverse teams; 10–75% travel is expected.

You will help address enterprise-wide issues with speed and scale and engage in client-facing thought leadership.

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