Procurement Solutions Manager (AI Agents & Workflow Automation)

About the role

Roche's Global Procurement function acts as the bridge between its business units and suppliers, and this role sits within Digital Procurement Solutions & Excellence. Reporting to the Procurement AI Solutions Lead, the Procurement Solutions Manager (AI) designs, builds, tests and deploys AI agents and agentic workflows that transform procurement processes. The position is based in Madrid.

Key responsibilities

• Partner with procurement teams to identify, structure and validate high-impact automation and AI use cases, turning business needs and data realities into clear solution designs.
• Design intelligent workflow logic combining AI capabilities, business rules, MCP and API integrations, data checks, human-in-the-loop steps and quality controls, and embed AI agents into existing procurement systems.
• Build and test proofs of concept with workflow automation tools (e.g. n8n, Zapier) and turn learnings into specifications for solution engineers and partners.
• Use enterprise LLM observability and evaluation tools to monitor agent behaviour, track accuracy and iterate on prompts and workflows.
• Act as product/solution owner from discovery to rollout, managing scope, timelines, risks and success metrics.
• Work with Digital Governance, IT, Compliance, BPM and Analytics & Insights to ensure solutions are scalable, auditable and compliant.
• Support tool and vendor assessments and build-vs-buy decisions, and communicate progress and risks to senior stakeholders.

Required profile

• 5+ years of experience in AI, data, digital transformation, automation, digital product management or solution delivery.
• Proven track record of designing and implementing AI agents and agentic workflows, from PoC to production.
• Degree in Business Management, Supply Chain, Finance, Computer Science or a related field.
• Fluent English at business level; German is a plus.
• Preferred: procurement and procurement technology experience, pharma/healthcare background, startup or consulting environment, and agentic monitoring (e.g. Langfuse).

Required skills

• Generative AI, LLM-based applications, AI agents, RAG, MCP, APIs, databases, workflow orchestration, evaluation and observability.
• Hands-on prototyping with low-code/no-code workflow tools and basic scripting.
• Product and program management, stakeholder leadership and cross-functional communication.