You are:
A skillful advisor. You know how to make the supply chain work for clients, society, and our planet – ensuring input products and services are received responsibly without interruption. And, what’s more - you’ve got the real-life experience and analytical know-how to reduce complexity, optimize risk exposure/resiliency, and increase long-term profitability. You have energy and drive, along with personal resilience, a passion for serving clients, and a love of continual learning. You have a flair for breaking down challenges into logical issues and constructing clear reasoning and root-cause analysis — an aptitude you use to solve problems. You have both communication and people skills, and as a team leader, you’re a natural at appreciating diverse perspectives and bringing out the best in teams.

The work:

• Own the full arc from business case to production: understand the client's operating model, identify the process friction and system interdependencies that block value, and build AI solutions that eliminate them — across ERP (SAP, Oracle), SCM platforms (Kinaxis, O9, Blue Yonder, Ariba), MES, and planning layers
• Lead cross-domain AI deployments at the functional interfaces — where planning, procurement, manufacturing, logistics, and engineering intersect — resolving the interdependencies that single-domain implementations miss
• Drive rapid experimentation from ambiguous business problem to working production system in days or weeks, grounded in deep knowledge of how supply chain and ERP transformations actually behave post-go-live
• Architect agentic solutions (agents, RAG, orchestration, multi-system workflow integration) that operate across the full enterprise stack: identity, data, governance, platform, and process layer
• Shape AI reinvention strategy with client CTO, CFO, and CISO — translating process and operating model complexity into fundable value architecture, ROI backlogs, and multi-year adoption roadmaps
• Define reusable reinvention blueprints and patterns — grounded in real deployment learnings — that scale across engagements and build the FDE practice

Travel Requirements:

• Travel is required for this role and could vary up to 75%

Here’s what you need: 

• Minimum 5 years of engineering experience with deep hands-on knowledge of enterprise SCM or ERP platform transformations (SAP, Oracle, Kinaxis, O9, Blue Yonder, or equivalent) including what breaks after go-live
• Minimum 1 year designing and deploying agentic AI solutions in production environments (agents, orchestration, RAG, context engineering)
• Minimum 2 years working with AI platforms (Anthropic, OpenAI, Vertex AI, or open source) including multi-provider pipeline architecture
• Deep design experience and fluency across one or several cross-domain processes including Idea to Retire, Source-to-Pay, Plan-to-Produce, Order-to-Cash, and Plan-to-Deliver with the ability to map how these processes intersect, where friction compounds, and how operating model gaps amplify system limitations.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Bonus points if:

• Demonstrated ability to bridge strategy, operating model design, and business case development with executable AI architecture
• Experience leading engineering teams through delivery in client-embedded environments, with accountability for commercial outcomes — not just delivery milestones
• Credibility with CTO, CFO, and CSCO: you communicate deployment risk, operating model implications, and ROI in their language
• Full enterprise AI architecture across complex multi-stakeholder environments
• Multi-platform expertise/knowledge (at least two platforms)
• Value architecture at program scale identifies high-value use cases, quantifies ROI, aligns technical decisions to commercial outcomes
• Shapes reinvention blueprints and reusable patterns that scale across multiple client engagements
• Leads rapid experimentation at pace: ambiguous problems to working production system in days or weeks"
• "High-level Thinking: Shapes reinvention strategy across client engagements, not just delivery execution. Identifies high-value use cases at program scale. Builds ROI backlogs and AI adoption roadmaps that align to commercial outcomes.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/08/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range
California $94,400 to $316,300
Cleveland $87,400 to $253,000
Colorado $94,400 to $273,200
District of Columbia $100,500 to $291,000
Illinois $87,400 to $273,200
Maine $80,400 to $232,800
Maryland $94,400 to $273,200
Massachusetts $94,400 to $291,000
Minnesota $94,400 to $273,200
New York $87,400 to $316,300
New Jersey $100,500 to $316,300
Virginia $87,400 to $291,000
Washington $100,500 to $291,000