Enterprise AI Enablement Manager

About the role

IQVIA is looking for an Enterprise AI Enablement Manager in Madrid to help shape how the company adopts AI. The role builds and automates the technical processes that let teams use AI safely, compliantly and effectively, turning business needs into practical guidance and repeatable ways of working.

Key responsibilities

• Design, build and maintain AI Enablement workflows using Microsoft 365, SharePoint, Teams, Power Automate, forms, approval flows, dashboards and reusable templates.
• Configure, test and refine Copilot and agent solutions with M365 Copilot, Copilot Chat, Agent Builder, SharePoint agents and Copilot Studio.
• Automate repeatable processes such as tool intake, pilot setup, agent certification, access, support triage, lifecycle reviews, benefits tracking and reporting.
• Create reusable assets such as prompts, agents, configuration guides, validation checklists, processes and playbooks.
• Turn business requirements into workflows, automations, user guidance, controls and success measures that can be scaled.
• Measure performance through cycle time, throughput, adoption, usage, support demand, benefits realization, compliance and operational risk indicators.
• Assess enterprise AI capabilities and vendor roadmaps and communicate recommendations in plain language.

Required profile

• Hands-on experience building workflows and automations with Microsoft 365, Power Automate, SharePoint, Teams, forms, lists, dashboards, low-code tools or scripts.
• Strong written communication and documentation skills, able to produce clear standards, playbooks and decision guidance.
• Practical understanding of AI agent setup, including instructions, grounding content, permissions, metadata, testing, ownership, lifecycle reviews and release readiness.
• Strong troubleshooting, technical documentation, process design and stakeholder translation skills.

Required skills

• M365 Copilot, Copilot Chat, Agent Builder, SharePoint agents and Copilot Studio
• Power Automate and low-code tools
• Working knowledge of Claude and other AI assistant tools, including capability testing, output comparison and use-case selection