AI Strategy & Technology Transformation Lead

Consultz

Abu Dhabi

On-site

AED 350,000 - 480,000

Full time

14 days+

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Job summary

Consultz leads data and AI strategy to transform technology across the organization, delivering measurable business value through end-to-end AI deployments and robust data governance.

The role requires deep technical expertise, strategic thinking, and strong collaboration with business stakeholders to drive scalable digital engineering and automation initiatives across complex programs.

Qualifications

  • 10 to 15 years of relevant experience.
  • Bachelor's degree in Computer Science, Data Science, AI or related field; Masters preferred.
  • Practical expertise in ML models and data processing.
  • Proven experience scaling technology solutions and understanding system architecture.
  • Strong analytical and problem-solving capabilities.
  • Ability to align technology initiatives with business objectives.
  • Excellent communication skills and stakeholder management.
  • Commitment to quality and results orientation.

Responsibilities

  • Lead end-to-end AI solution deployment to deliver business value.
  • Own technology projects from initiation to completion within time and budget.
  • Oversee data management, quality, governance and analytics.
  • Provide technical guidance on SDLC, architecture and integration.
  • Assess technology capabilities and develop upgrade roadmaps.
  • Drive automation initiatives across departments with pilots.
  • Translate complex technical concepts for stakeholders.
  • Support senior leadership by aligning tech strategy with business goals.
  • Evaluate vendors and manage relationships and due diligence.
  • Oversee external consultants and vendors to ensure delivery.

Skills

Analytical thinking
Problem solving
Communication skills
Stakeholder management
Strategic thinking
Adaptability

Education

Bachelors in CS/DS/AI
Masters preferred

Job description

Consultz leads data and AI strategy to transform technology across the organization, delivering measurable business value through end-to-end AI deployments and robust data governance.

The role requires deep technical expertise, strategic thinking, and strong collaboration with business stakeholders to drive scalable digital engineering and automation initiatives across complex programs.

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