Forward Deployed Engineering Manager

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.

In End-to-End Supply Chain & Engineering we work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise are supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our End-to-End Supply Chain & Engineering services help architect and accelerate all aspects of an organization’s total enterprise reinvention.

End-to-End Supply Chain & Engineering Strategy.  We embed innovation, intelligence, and sustainability in the way the world makes and moves things while optimizing resources, keeping people safe, and ensuring a sustainable future for all.  

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

• 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.