Dubai AI Strategy Lead — End-to-End Client Deployments

Property Finder

Dublin

On-site

EUR 109,000 - 182,000

Full time

4 days ago
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Job summary

Property Finder is seeking an AI Strategist to lead end-to-end AI engagements with top clients in the MENA region. You will define impactful use cases, oversee deployment by forward-deployed engineers, and ensure adoption and measurable value.

The role requires 6–9 years in client-facing or consulting roles and strong SQL/data skills. This is a client-facing, business-minded position comparable to an Engagement Manager at leading tech firms.

Qualifications

  • 6–9 years of experience in client-facing roles or management consulting.
  • Experience leading multi-month engagements with a team of 2–5 members.
  • Hands-on with AI: scoped or shipped LLM-based tools.
  • Strong analytical and data skills including SQL.
  • Excellent written and verbal communication.
  • Commercial judgment and ability to explain ROI to clients.

Responsibilities

  • Build trusted relationships with client owners and senior leadership; manage solutions alongside account teams.
  • Run discovery to map client processes and identify AI opportunities with measurable impact.
  • Define and prioritise use cases with business cases, targets, and success criteria.
  • Own engagement plan, backlog, and milestones; unblock engineers and align with client decisions.
  • Move solutions from prototype to production, train client teams, and drive adoption.
  • Measure impact using analytics and report outcomes to client leadership.
  • Create reusable assets like playbooks and templates to scale successful engagements.

Skills

Relationship management
Client engagement
AI strategy
SQL
APIs
Data pipelines
Leadership
Communication

Tools

CRM systems
LLM tooling

Job description

Property Finder is seeking an AI Strategist to lead end-to-end AI engagements with top clients in the MENA region. You will define impactful use cases, oversee deployment by forward-deployed engineers, and ensure adoption and measurable value.

The role requires 6–9 years in client-facing or consulting roles and strong SQL/data skills. This is a client-facing, business-minded position comparable to an Engagement Manager at leading tech firms.

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