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Sourcing and Procurement Data & AI Senior Manager

Posted today

accentureDayton (OH)

SENIORITY

Manager

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About the role

Overview: As a Forward Deployed AI Engineer, you embed with client teams to operationalize AI platforms in real environments, driving time-to-value, adoption, and scalability. You will own end-to-end outcomes across multi-stakeholder contexts and contribute to building the largest FDE capability in services. You will tackle procurement transformation challenges through AI-powered solutions and reusable blueprints. This role blends engineering rigor with strategic stakeholder engagement to deliver measurable business impact. Compensation / Benefits medical, dental, vision, life, and long-term disability coverage 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities: Lead enterprise AI platform deployments across complex client environments, managing architecture through adoption for platforms like SAP Ariba, Coupa, Ivalua, Jaggaer Own programme-level delivery outcomes including time-to-value, reliability, adoption velocity, and scalability with multiple concurrent workstreams Lead rapid experimentation to translate ambiguous problems into production systems within days/weeks in enterprise settings Architect and govern AI solutions across identity, data, security, governance, platform layers, and multi-system integrations Shape AI reinvention strategy for client executive teams, developing value architectures, ROI backlogs, and adoption roadmaps Publish reusable reinvention blueprints, patterns, and accelerators for scale across engagements Lead architecture design sessions and executive workshops with client leadership Codify delivery learnings and engineering standards to advance the FDE practice Design and deploy AI-powered procurement solutions including autonomous sourcing agents and predictive spend analytics Translate S&P function requirements into scalable AI architectures and production-ready workflows Travel up to 75% as needed to engage on-site with clients
Key requirements: 8+ years of engineering experience with cloud-native systems (APIs, microservices, containers, serverless) 1+ year designing and deploying agentic solutions in production 3+ years deep expertise with AI platforms (OpenAI, Claude, Vertex AI, or open-source models) 8+ years leading software engineering teams with delivery oversight and staff development Bachelor's degree or equivalent work experience Experience with multi-provider AI pipelines and enterprise AI deployments Familiarity with procurement technologies (S/&P platforms) and enterprise ecosystems communication skills to align stakeholders ability to work collaboratively with cross-functional teams leadership and team development AI platform deployment (OpenAI, Anthropic, Google, etc.) enterprise AI architecture (identity, data, security, governance) Sourcing & Procurement platforms (SAP Ariba, Coupa, Ivalua, Jaggaer)

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