Global Supply Chain Technology Lead GCP
Listed on 2026-02-19
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IT/Tech
Cloud Computing, AI Engineer
at Accenture in Overland Park, Kansas, United States
Job DescriptionWe Are A leading partner to the world’s major cloud providers, including AWS , Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud.
To accelerate our customers transformation leveraging cloud, we combine world‑class learning and talent development expertise; deep experience in cloud change management; and cloud‑ready operating models with a commitment to responsible business by design – with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
We are the Accenture Google Business Group (AGBG), a team of innovators and builders changing the world with the most advanced cloud‑native solutions on the planet. As part of Accenture’s $3B investment in Cloud First, we deliver the promise of technology and human ingenuity, helping our clients navigate their most significant transformations. If you are passionate about solving exciting problems and shaping the future of technology, we would love to talk with you.
YouAre
As an Associate Director Cloud Functional Lead within Accenture Cloud First, you own the functional Supply Chain leadership of complex, enterprise‑wide cloud transformation programs powered by Google Cloud. We are seeking a visionary functional leader to architect the future of our Global Supply Chain using Google Cloud Platform (GCP).
The WorkIn this role, you will move beyond traditional analytics to build an Agentic Supply Chain—one where AI doesn’t just predict disruptions but autonomously acts to mitigate them.
You will bridge the gap between supply chain business process owners and GCP engineering teams, leveraging the Google Cloud Cortex Framework, Big Query, and Vertex AI to unify data, deploy GenAI agents, and drive autonomous decision‑making across planning, logistics, and fulfillment.
Key Responsibilities Strategic Leadership & Transformation- Define the roadmap for the “Autonomous Supply Chain,” transitioning from reactive dashboards to proactive, agent‑based workflows.
- Act as the primary translator between Supply Chain Operations (Planning, Source, Make, Deliver) and the Cloud Engineering/Data Science teams.
- Identify high‑value use cases for GenAI and Agentic AI (e.g., autonomous procurement negotiation, self‑correcting inventory balancing, predictive maintenance).
- Lead the functional adoption of the Google Cloud Cortex Framework to accelerate data integration from ERPs (SAP, Oracle) into Big Query.
- Champion a “Data Mesh” architecture where supply chain domains own their data products, ensuring real‑time visibility and governance.
- Oversee the harmonization of external signals (weather, geopolitical risk, supplier financial health) into the enterprise data foundation.
- Design and deploy Vertex AI Agents responsible for specific functional tasks (e.g., a “Logistics Agent” that re‑routes shipments based on port congestion data without human intervention).
- Implement Multi‑Agent Systems where different AI agents (Inventory Agent, Sales Agent, Procurement Agent) collaborate to optimize trade‑offs between service levels and cost.
- Leverage Gemini models to create conversational interfaces, allowing non‑technical supply chain planners to query data using natural language (e.g., “Show me the impact of the Rotterdam strike on Q3 inventory”).
- Redesign core S&OP (Sales and Operations Planning) processes to include AI‑driven scenario planning and…
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