AI-Driven Engineering Manager: Supply Chain Transformation

Accenture

Houston (TX)

On-site

USD 120,000 - 250,000

Full time

9 days ago
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Job summary

Accenture is seeking a skilled AI-enabled engineering leader for End-to-End Supply Chain & Engineering. You will own AI initiatives from business case to production, leading cross-domain deployments across ERP/SCM platforms like SAP, Oracle, Kinaxis, and Blue Yonder.

You will architect agentic AI solutions, partner with client CTO/CFO/CISO, and drive rapid experimentation with measurable ROI. Travel up to 75% is required.

Qualifications

  • Minimum 5 years of engineering experience with enterprise SCM/ERP transformations (SAP, Oracle, Kinaxis, O9, Blue Yonder, Ariba).
  • At least 1 year designing and deploying agentic AI solutions in production.
  • Minimum 2 years working with AI platforms (Anthropic, OpenAI, Vertex AI) and multi-provider pipelines.
  • Bachelor's degree or equivalent work experience (12 years).

Responsibilities

  • Own the full arc from business case to production for AI solutions across ERP/SCM systems.
  • Lead cross-domain AI deployments at planning, procurement, manufacturing, logistics, and engineering interfaces.
  • Drive rapid experimentation from problem to production in days/weeks with ROI focus.
  • Architect enterprise AI solutions spanning identity, data, governance, and process layers.
  • Shape reinvention strategy with client CTO, CFO, and CISO and map ROI backlogs.

Skills

Agentic AI design
Cross-domain AI deployments
ERP/SCM transformations
AI platform integration

Education

Bachelor's degree or equivalent

Tools

SAP
Oracle
Kinaxis
O9
Blue Yonder
Ariba

Job description

Accenture is seeking a skilled AI-enabled engineering leader for End-to-End Supply Chain & Engineering. You will own AI initiatives from business case to production, leading cross-domain deployments across ERP/SCM platforms like SAP, Oracle, Kinaxis, and Blue Yonder.

You will architect agentic AI solutions, partner with client CTO/CFO/CISO, and drive rapid experimentation with measurable ROI. Travel up to 75% is required.

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