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Accenture in the United States (Cincinnati) seeks a senior AI and supply chain transformation leader to own end-to-end AI reinvention across ERP and SCM systems. You will drive cross-domain deployments, design agentic AI architectures, and partner with CTO/CFO/CISO to map ROI and adoption roadmaps.
Travel up to 75%. The role requires 5+ years of engineering, 1 year of agentic AI deployment, 2+ years with AI platforms, and a Bachelor's degree or equivalent.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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.
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
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)
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 11/19/2026. 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 (https://www.accenture.com/us-en/careers/local/benefits)
California $94,400 to $316,300
Colorado $94,400 to $273,200
Connecticut $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
Ohio $87,400 to $253,000
Virginia $87,400 to $291,000
Washington $100,500 to $291,000
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