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Manager; Abu-Dhabi

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Quantum One
Full Time position
Listed on 2026-01-25
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager
Job Description & How to Apply Below
Position: Manager (Abu-Dhabi based)
Location: Greater London

Quantum One is seeking a Manager to lead AI transformation engagements.

In this role, you will act as the bridge between advanced technical possibility and client business value. You will not only architect the solution but also own the client relationship, ensuring that our delivery meets the highest standards of quality and drives measurable commercial impact.

What You’ll Do
  • Lead Client Engagements:
    Own the end-to-end delivery of complex AI work streams. Manage project scope, timelines, and deliverables while maintaining a relentless focus on value realization for the client.
  • Translate Business to Technical:
    Partner with client executives (VPs, Directors) to diagnose ambiguous business challenges. Translate these needs into rigorous, actionable technical roadmaps that your team can execute.
  • Manage Stakeholders & Expectations:
    Act as a trusted advisor to the client. Navigate complex organizational dynamics, present findings to non-technical C-suite audiences, and expertly manage expectations regarding feasibility and impact.
  • Drive Practice Growth:
    Identify new opportunities within client accounts by demonstrating the potential value of further AI/Data interventions. Contribute to the firm’s intellectual property by codifying successful methodologies.
What You Bring:
  • 6+ years of experience in data science consulting or high-velocity AI product development, with a proven track record of managing client-facing engagements.
  • Exceptional ability to synthesize complex analytical results into clear, persuasive business narratives.
  • You can explain why a model matters, not just how it works.
  • A history of delivering solutions that survived "slide-ware" and made it to production, resulting in measurable ROI for the business.
  • Bachelor’s degree in Engineering, Physics, Economics, or a related quantitative field (MBA or Advanced Technical Degree is a strong plus).
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