Data Engineering / AI Analytics Lead – AI Deployment

Data Engineering / Analytics Lead – AI Deployment

Ready to move AI from hype to production?

Considering making an application for this job Check all the details in this job description, and then click on Apply.

My client are looking for a hands-on AI & Analytics Lead to drive real-world deployment of AI into a high-impact partnerships environment. This is not a research role — it’s about execution, delivery, and changing how analytics is done at scale.

You’ll take ownership from idea to production, building AI-powered analytics solutions that transform decision-making and operational workflows. Along the way, you’ll establish repeatable patterns, uplift capability across teams, and help redefine how AI is delivered in practice.

What you’ll do

• Deploy AI-driven analytics solutions into production using modern data platforms
• Own end-to-end delivery: from business problem to live capability
• Automate and scale insights, reporting, and decision support
• Build reusable frameworks and enable others across the organisation
• Partner closely with stakeholders to drive adoption and impact

What you’ll bring

• Strong experience delivering AI/analytics solutions in production
• Hands-on expertise with modern data platforms (e.g. Fabric or similar)
• Solid SQL and working Python knowledge
• Experience with BI tools and data modelling xwzovoh workflows
• A pragmatic, “get-it-done” mindset with strong stakeholder engagement

Why this role

• Deliver real AI solutions at scale, not proofs of concept
• High ownership and visibility across the business
• Opportunity to shape how AI is deployed and scaled

If you’re excited by building, deploying, and embedding AI where it actually matters, please apply or email me directly at