Head of Artificial Intelligence & Data Intelligence – Dubai / New York / California | Visa + Salary Insights
📍 Location: ae
🏷 Type: Not specified
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Job Overview
This executive-level opportunity for a Head of Artificial Intelligence & Data Intelligence at AHS is designed for a Senior-Level AI leader (8+ years experience) who can define and scale enterprise-wide AI transformation. The role focuses on building advanced machine learning systems, data intelligence pipelines, and AI-driven decision frameworks across a multi-region organization spanning Dubai, New York, and California. The ideal candidate is a strategic thinker with deep technical expertise in AI, data science, and large-scale analytics, capable of aligning innovation with business performance and operational excellence.
🌍 Work Eligibility & Location
- 🌍 Visa Sponsorship: Likely available (UAE + US hiring context, not explicitly confirmed)
- ✈️ Relocation Support: Expected for executive-level international candidates
- 🏠 Remote Type: Onsite / Hybrid Executive Role (multi-location: Dubai, New York, California)
- ⏰ Timezone Requirement: Global coordination required across US–UAE overlap
- 🌐 Country Restrictions: None explicitly stated
- 🗣️ Language Requirement: English (business fluency required)
This role is designed for global leadership exposure, requiring strong cross-border coordination across North America and the Middle East. While the structure is primarily Onsite executive leadership, strategic collaboration across regions is expected. The position is suitable for candidates open to relocation or multi-country leadership responsibilities, with high likelihood of visa facilitation for top-tier profiles.
💰 Salary Intelligence
- 💰 Official Salary: Not disclosed
- 📊 Estimated Range: $180,000 – $350,000+ USD annually
- 📈 Level: Executive / C-Level Equivalent (Senior AI Leadership)
Compensation for this role aligns with high-impact AI leadership positions in global enterprises. Given the scope of responsibility, candidates operating at Head of AI / Director of Data Science level typically command top-tier packages including performance bonuses, equity potential, and relocation benefits.
📊 Role Breakdown
This position requires ownership of the entire AI and data ecosystem, including architecture design, model deployment, and strategic analytics adoption across business units. You will lead cross-functional teams building production-grade systems using Python, TensorFlow, PyTorch, and distributed computing frameworks like Spark and Hadoop. Approximately 40% of your focus will be on AI strategy design, 30% on team leadership and execution, and 30% on business alignment and stakeholder communication. You will define governance structures for ethical AI deployment and ensure compliance with global data privacy standards. A key aspect involves converting large-scale datasets into actionable insights that directly influence executive decisions and business outcomes.
🧩 Required Skills & Fit
- ✅ Must: Advanced AI / Machine Learning expertise
- ✅ Must: 8+ years in data science or AI engineering
- ✅ Must: Leadership experience managing AI teams
- ➕ Bonus: Real estate industry experience
- ➕ Bonus: PhD in AI / Data Science / Computer Science
📈 Difficulty & Competitiveness
- ⚡ Level: Very High
- 📊 Experience barrier: 8+ years minimum
- 🧠 Skill complexity: Advanced (AI architecture + leadership)
- 🌍 Competition: Global elite talent pool
This is a highly selective leadership role targeting experienced AI executives. Competition is intense due to the combination of strategic authority, technical depth, and cross-regional responsibility. Candidates without proven large-scale AI deployment and leadership experience are unlikely to progress.
🚀 Career Impact
- ⭐ Impact Rating: ⭐⭐⭐⭐⭐
- 🏢 Brand value: High-growth luxury real estate innovation firm
- 📚 Skill growth: Enterprise AI scaling & governance
- 🚀 Future opportunities: CTO, Chief AI Officer, VP Data roles
This role significantly elevates long-term career trajectory, positioning candidates for C-level AI leadership roles. It provides exposure to enterprise-scale transformation, making it a strong stepping stone toward global executive positions in AI strategy, data intelligence, and digital innovation leadership.
📋 Key Responsibilities
You will define and execute AI strategy across the organization, ensuring alignment with business goals. Responsibilities include building scalable machine learning pipelines, deploying predictive models, and leading data-driven transformation initiatives. You will manage AI engineers, data scientists, and analysts, ensuring high-quality output and technical excellence. A critical part of the role involves overseeing data governance frameworks, ensuring compliance with privacy regulations and ethical AI standards. Additionally, you will collaborate with senior leadership to translate complex analytics into actionable business insights and drive innovation across operational workflows.
🎯 Application Strategy
- 🎯 Best apply method: Executive referral or direct leadership application
- 🔥 Highlight: Large-scale AI deployment experience
- 🔥 Highlight: Team leadership in data science environments
- ❌ Avoid: Generic AI project descriptions
- ❌ Avoid: Overemphasis on academic theory without execution
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Head of Artificial Intelligence & Data Intelligence leading enterprise AI strategy, machine learning systems, and data governance across multi-region operations.
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📅 Application Signals
This is a high-urgency executive hiring role with limited leadership openings globally. Competition is expected from top-tier AI leaders, particularly from fintech, real estate tech, and enterprise SaaS domains. Early application significantly increases visibility with hiring decision-makers, especially for candidates with proven AI transformation experience.
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✅ Job Source & Verification
This listing is sourced directly from AHS official recruitment channels via Workable. It reflects a verified executive AI leadership role with structured responsibilities and clearly defined technical expectations. Last updated: April 2026. Candidates should always confirm final details on the official application page before submission.
