UMATR27.01.26
AI SCORE 8.5

VP of Data & AI - Lead Innovative Strategies in Abu Dhabi

$230K/year

About the Role

We are seeking a VP of Data & AI to join our innovative team at UMATR. This role is pivotal as you will lead the charge in shaping our data and AI strategy, driving impactful business outcomes. As a VP of Data & AI remote, you will have the opportunity to build and lead our Business Intelligence (BI), internal metrics, and AI/ML initiatives.

What You'll Do

  • Lead the development and execution of the company’s Data & AI strategy, ensuring alignment with business objectives.
  • Oversee the BI, analytics, and AI/ML teams to deliver actionable insights and predictive models.
  • Collaborate with the C-suite and executive leadership to drive data-driven decision-making.
  • Manage and develop multi-disciplinary teams, fostering a culture of innovation and excellence.
  • Utilize advanced machine learning techniques to enhance the company’s core product offerings.

Requirements

  • Proven experience in a senior leadership role focused on Data & AI.
  • Advanced expertise in machine learning and AI; a PhD is highly valued but not essential.
  • Strong leadership skills with a track record of managing diverse teams.
  • Experience in building and executing large-scale Data and AI strategies.
  • Relevant certifications such as AWS, GCP, TensorFlow, or PyTorch are preferred.

Nice to Have

  • Experience in Fintech, Banking, Cybersecurity, or Fraud.

What We Offer

  • Ownership of the Data & AI strategy for an award-winning, market-leading company.
  • Comprehensive relocation package to Abu Dhabi, including visa, health insurance, flights, and accommodation.
  • Tax-free income and a high standard of living in Abu Dhabi.
  • Opportunity to work in a vibrant city known for its innovation and safety.
  • Access to a significant talent pool and a dynamic work environment.

As a VP of Data & AI remote, you will play a crucial role in driving our data initiatives forward. If you are ready to take on this exciting challenge, apply now!

Why This Job8.5 of 10

This VP of Data & AI role at UMATR offers a unique opportunity to lead transformative data initiatives in a vibrant city with a tax-free salary.

Salary Range
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Bonus
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About UMATR

Explore UMATR careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform offers tailored filters, application tracking, and valuable company insights to enhance your job search experience. Stay updated with industry news and optimize your applications to secure your ideal position at UMATR. Start your journey toward a rewarding career today!

Industry
Tech
Location
On-site

Who Will Succeed Here

Deep expertise in Machine Learning frameworks such as TensorFlow and PyTorch, with a proven ability to implement scalable AI solutions in cloud environments like AWS and GCP.

Strong strategic mindset with the ability to innovate and pivot data strategies based on evolving business needs, particularly in a hybrid work environment that fosters collaboration and flexibility.

Demonstrated experience in leading cross-functional teams to drive data-driven decision-making and business intelligence initiatives, with an emphasis on delivering measurable outcomes.

Learning Resources

Machine Learning Crash Coursecourse

Career Path

VP of Data & AI(Now)Chief Data Officer (CDO)(2-4 years)Chief Technology Officer (CTO)(4-6 years)

Market Overview

Market Size 2024
$30B
Annual Growth
39.2%
AI Adoption
61%
Investment
+200%
Labour Demand
+45%
Avg Salary
$180K

Skills & Requirements

Required
Machine LearningArtificial IntelligenceData Strategy
Growing in Demand
Natural Language ProcessingData EngineeringMLOps
Declining
Traditional BI Tools (e.g., Tableau 8.x)Basic Statistical Analysis (Excel-based)

Domain Trends

Increased Focus on Ethical AI
As AI adoption grows, 80% of organizations are prioritizing ethical considerations in AI deployments to mitigate bias and ensure transparency.
Integration of AI with IoT
The convergence of AI and IoT is expected to grow by 30% year-on-year, with 70% of enterprises planning to implement AI-driven IoT solutions by 2025.
Rise of Automated Machine Learning (AutoML)
The AutoML market is projected to grow by 27% annually, with 65% of data scientists stating it significantly reduces the time to deploy ML models.

Industry News

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