AI Enablement Lead

N-iX; Lombardia; On-site; EUR 90,000 - 130,000; Full time

Job summary

N-iX is seeking an AI Enablement Lead to drive the identification and implementation of AI use cases across IT Operations, IS Operations and Governance. You will translate business challenges into practical AI solutions with measurable productivity gains.

You will collaborate with operations teams and external providers, define solution concepts, coordinate delivery, establish baselines, and maintain the AI use-case roadmap to ensure real business value.

Qualifications

• Experience in AI enablement or digital transformation projects.
• Ability to translate business requirements into technical solutions.
• Strong analytical skills to measure productivity improvements.
• Experience coordinating internal teams and external partners.
• Good understanding of AI governance, security, and lifecycle management.
• Excellent stakeholder communication skills.

Responsibilities

• Identify and prioritize AI use cases across IT Operations, IS Operations and Governance.
• Translate operational challenges into practical AI solutions with business and technical experts.
• Define solution concepts and priorities based on productivity improvements.
• Coordinate delivery across internal teams, external providers, and the AI Solutions Engineer.
• Ensure alignment with wider AI initiatives, governance and security requirements.
• Drive adoption of implemented solutions within the operational teams.
• Establish baselines and measure the productivity improvements achieved through each use case.
• Maintain the AI use-case roadmap and ensure focus on measurable business value.

Skills

AI enablement

AI solution design

Digital transformation

Azure AI

Azure OpenAI

Prompt engineering

Workflow automation

Stakeholder management

Governance & security

Lifecycle management

Tools

Azure AI

Azure OpenAI

Microsoft Copilot

Copilot Studio

Job description

We are looking for an AI Enablement Lead to join our team! The AI Enablement Lead will drive the identification and implementation of AI use casesacross IT Operations, IS Operations and Governance. Working closely withoperational teams and the wider initiatives. The role translates business challenges into practical AI solutions with measurable productivity improvements.

Responsibilities

• Identify and prioritize AI use cases across IT Operations, IS Operations and Governance.
• Translate operational challenges into practical AI solutions together with business and technical experts.
• Define solution concepts, implementation approaches and priorities based on expected productivity improvement.
• Coordinate delivery across internal teams, external providers and the AI Solutions Engineer.
• Ensure alignment with the wider AI initiatives, technology standards, governance and security requirements.
• Drive adoption of implemented solutions within the operational teams.
• Establish baselines and measure the productivity improvements achieved through each use case.
• Maintain the AI use-case roadmap and ensure focus on measurable business value.

Required skills

• Strong experience in AI enablement, AI solution design or digital transformation.
• Good understanding of AI agents, Retrieval-Augmented Generation, prompt engineering and workflow automation.
• Experience with technologies such as Azure AI, Azure OpenAI, Microsoft Copilot and Copilot Studio.
• Ability to translate business requirements into feasible technical solutions.
• Strong stakeholder management and communication skills.
• Experience coordinating internal teams and external implementation partners.
• Good understanding of AI governance, security, risk and lifecycle-management requirements.
• Strong analytical skills and experience measuring productivity improvements.