Sourcing and Procurement Data & AI Senior Manager
Accenture
- Location
- Location Negotiable
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 998 approvals (FY2023)
- Posted
- Sep 10, 2026
Skills
About this role
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 . We are: Sourcing & Procurement, and we move fast, think fast, and work fast. Our clients need big-picture change, so we come at their challenges from all sides with functional insights, data power, digital leadership, and extensive industry know-how. It’s our job to show clients how to take major leaps forward in cost-out, strategic category management, and procurement operations. You are: A Sourcing and Procurement professional who helps clients develop strategies and operating models to advance procurement capabilities and drive bottom-line financial impact. You use your data skills to develop and implement strategies that improve the value and performance delivered by clients’ supply base, while establishing strategic procurement category plans and processes to sustain long-term value. You’ve also got the communication skills to make sure that everyone understands your ideas and how to get them working as quickly as possible. Your experience means that people look to you for guidance and ideas. And you know how to make sure teams get their work done on time, every time. The Work: This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. Within the Sourcing & Procurement practice, this means tackling the full spectrum of enterprise procurement transformation — from strategic category management and supplier risk to autonomous sourcing agents and AI-driven spend analytics — at scale.
Key Responsibilities
Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption, including Sourcing & Procurement platforms such as SAP Ariba, Coupa, Ivalua, or Jaggaer Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and