Lead AI Engineering

Gender

Oman

On-site

OMR 28,000 - 50,000

Full time

14 days+
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Job summary

Gender is seeking a senior AI analytics leader to own end-to-end AI use cases, from business value to delivery, and to shape enterprise analytics without hands-on execution.

You will translate business problems into structured analytics, define ROI and success metrics, design data marts for Cloudera, and mentor junior teams. A strong background in data analytics and leadership is required.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering or related field.
  • 8+ years of experience in data analytics or AI/advanced analytics roles.
  • Ability to define AI use-cases, ROI, and implementation frameworks.

Responsibilities

  • Own AI use cases from business value to delivery.
  • Shape enterprise AI analytics without hands-on delivery.
  • Translate business problems into structured analytics and AI designs.
  • Define ROI, value cases, and success metrics for AI initiatives.
  • Guide and mentor junior analytics teams and AI developers.

Skills

AI analytics
ROI definition
Data design
Mentoring/leadership

Education

Bachelor's in Computer Science
Master's degree preferred

Tools

Cloudera

Job description

Industry Information Technology and Services

Job Description

Own AI use cases from business value to delivery Shape enterprise AI analytics without hands-on delivery

Identify, define, and prioritise AI and analytics use cases with the business Translate business problems into structured analytics and AI designs Define ROI, value cases, and success metrics for AI initiatives Design data marts, datasets, and schemas for Cloudera consumption Guide and mentor junior analytics teams and AI developers

Desired Candidate Profile
The Successful Applicant

Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's preferred)

At least 8 years' experience in data analytics, AI, or advanced analytics roles Proven ability to define AI use cases, ROI, and implementation frameworks

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