At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

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About the Role

This role is based in the General Procurement function, supporting Roche’s goal of bringing innovative solutions to patients through business and supplier partnerships. As the Procurement Solutions Manager (AI), you will be part of Digital Procurement Solutions & Excellence, advancing value delivery through digital solutions & excellence with Digital & AI augmenting our capacity to magnify outcomes and deliver a better procurement experience. Reporting to the Procurement AI Solutions Lead, your primary responsibility is to design, build, test, and deploy AI agents and agentic workflows that transform procurement processes.

Key Responsibilities

- AI Solution Discovery & Design: Partner with procurement teams to identify, structure, and validate high-impact automation and AI use cases; translate business needs, process complexity, policy requirements, data realities, and user experience considerations into clear solution designs.
- Workflow & Agent Design: Design and build intelligent workflow logic for procurement use cases, integrating AI capabilities, business rules, MCP and API integrations, data checks, human-in-the-loop steps, and measurable quality controls; independently build, configure and embed AI agents into existing procurement systems and processes to automate end-to-end tasks.
- Rapid Prototyping:



Build and test initial proofs-of-concept (PoCs) using workflow automation tools (e.g., n8n, Zapier) and internal data sources to validate value quickly before full-scale engineering; translate learnings into actionable specifications for internal teams, external partners, and solution engineers.
- Solution Evaluation & Observability: Utilize enterprise LLM observability and evaluation tools to monitor agent behavior, track accuracy, analyze failure modes, and systematically iterate on prompts and workflow logic to ensure production-grade reliability.
- Build & Delivery Orchestration: Act as product/solution owner from discovery to scalable rollout; manage scope, timelines, dependencies, value hypotheses, success metrics, risks, and stakeholder expectations in a complex matrix environment.
- Enterprise-Ready Solution Thinking: Collaborate with Digital Governance & Management, IT, Compliance, Business Process Management, and Analytics & Insights to ensure AI solutions are designed with scalability, auditability, reliability, data protection, and operational handover in mind.
- Technology & Partner Advisory: Support tool and vendor assessments and contribute to build-vs-buy-vs-self-service decisions with a pragmatic understanding of technical feasibility and business value.
- Business Translation & Communication: Act as the trusted bridge between procurement experts, AI engineers, and governance teams; translate technical progress, evaluation results, value potential and risks into clear, decision-ready narratives for senior stakeholders.

Qualifications
- Experience: 5+ years in AI,



data, digital transformation, automation, digital product management, or solution delivery.
- AI Delivery Track Record: Proven experience designing and implementing productive AI agents and agentic workflows, moving solutions from idea through PoC, pilot, and production in complex enterprise environments.
- Technical AI Solution Fluency: Strong understanding of Generative AI, LLM-based applications, AI agents, RAG, MCP, APIs, databases, workflow orchestration, evaluation & observability best practices, and digital delivery fundamentals.
- Hands-on Prototyping & Build Judgment: Ability to independently build functional prototypes using low-code/no-code workflow tools and basic scripting/data manipulation logic, and know when to hand off to engineering teams for production scaling.
- Product Management Skills: Discovery, prioritization, stakeholder alignment, roadmap thinking, delivery planning, value tracking, and continuous improvement.
- Cross-functional Communication & Stakeholder Leadership: Strong communication skills and ability to engage procurement experts, engineers, data scientists, IT, governance stakeholders, external partners, and senior management.
- Enterprise Solution Readiness: Understanding of data privacy, compliance, security, auditability, operating model fit, and handover into run operations, including preparation of technical documentation (e.g., via GitHub).
- Education: Degree in Business Management, Supply Chain, Finance, Computer Science, or a related field.
- Language: Fluent in English to a business level (German is a plus).
- Preferred qualifications: Experience in procurement and procurement technology; pharma/healthcare; start-up mentality, vibe-coding experience, consulting environment; agentic monitoring (e.g., Langfuse). xqbhyrx

EEO Statement

Roche is an Equal Opportunity Employer.

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📌 Procurement Solutions Manager (AI Agents & Workflow Automation) (Madrid)
🏢 F. Hoffmann-La Roche
📍 Madrid