Data Engineering / Analytics Lead – AI Deployment (Fixed Term, 14 Months)

Hunter Bond
London, GB
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • deployed AI-driven analytics solutions
  • established repeatable patterns
  • uplifted capability across teams
Typical background
data engineeringAI deployment

Transferable backgrounds

  • Coming from data scientist
  • Coming from AI researcher

Skills & requirements

Required

Data EngineeringAI DeploymentModern Data PlatformsSQLPythonBI ToolsData Modeling

Preferred

Fabric Platform

Stack & domain

PythonSQLBi ToolsData Modelling WorkflowsLeadershipStakeholder EngagementAIAnalyticsData Platforms

About the role

Original posting from Hunter Bond

Data Engineering / Analytics Lead – AI Deployment (Fixed Term, 14 Months)

Ready to move AI from hype to production?

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 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 rknight@hunterbond.com

Source: Hunter Bond careers

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