Position Summary
We are seeking an experienced, highly technical, and accomplished Data & AI Solutions & Delivery Lead with 10 to 15 years of professional enterprise IT experience to join our premier telecommunications client team on-site in Dubai, UAE. In this critical leadership and solution delivery role, you will spearhead complex data, analytics, and artificial intelligence initiatives across large-scale enterprise environments. You will work closely with executive CXO stakeholders, cross-functional software architects, data/AI engineers, and external technology vendors to drive technical oversight, solution shaping, pre-sales proposals, and end-to-end AI project delivery. Ideal candidates bring a robust academic background in computer science or engineering, deep practical mastery of modern cloud platforms (Azure, AWS, OCI, GCP), GenAI and LLM architectures, and immediate availability within a 30-day notice period in the UAE.
Detailed Job Description
As a Data & AI Solutions & Delivery Lead based in Dubai, UAE, you will take full ownership of guiding enterprise-wide data modernization, advanced analytics, and generative AI deployments for a major telecommunications client. Your day-to-day responsibilities encompass providing rigorous technical oversight, challenging enterprise data architectures, identifying technical risks and dependencies, and driving successful delivery across multi-cloud platforms. You will lead executive workshops, manage steering committees, present strategic roadmap solutions to CXO stakeholders, and support pre-sales commercial growth and proposal developments. Working in a fast-paced regulated environment, you will coordinate multidisciplinary teams of data architects, machine learning engineers, and software vendors to ensure flawless execution from solution shaping through production operations.
Key Responsibilities
- Lead complex enterprise data, analytics, and artificial intelligence solution delivery across telecommunication environments.
- Provide expert technical oversight, challenge enterprise architectures, and identify cross-system risks and dependencies.
- Drive end-to-end delivery of Generative AI (GenAI), Large Language Models (LLMs), RAG systems, AI Agents, and ML pipelines.
- Architect and oversee cloud-native data platforms, APIs, system integrations, and AI/ML lifecycle management on Azure, AWS, OCI, or GCP.
- Manage executive CXO stakeholder relationships, lead strategic client workshops, and present to steering committees.
- Spearhead solution shaping, pre-sales estimation, technical proposals, commercial opportunity identification, and customer growth.
- Coordinate and mentor cross-functional teams of enterprise architects, data engineers, AI specialists, and external vendors.
- Ensure strict adherence to enterprise data governance, regulatory compliance, security baselines, and project delivery deadlines.
- Oversee operational readiness, change management, and value realization metrics across digital transformation portfolios.
Required Qualifications & Skills
- Bachelor’s degree in Computer Science, Data Science, Information Technology, Software Engineering, or a related field.
- Minimum 10 to 15 years of professional experience leading complex Data, Analytics, and AI initiatives in enterprise environments.
- Deep technical understanding of data and AI architecture, Generative AI (GenAI), LLMs, RAG, AI Agents, and machine learning.
- Hands-on experience with major cloud platforms (Azure, AWS, OCI, or GCP) covering data platforms, APIs, and AI/ML lifecycles.
- Proven ability to provide technical oversight, architecture reviews, risk mitigation, and end-to-end delivery management.
- Exceptional executive and CXO-level stakeholder management, facilitation, workshop leadership, and presentation skills.
- Strong experience in solution shaping, pre-sales consulting, technical proposals, and commercial business growth.
- Proven background coordinating enterprise architects, data engineers, technology partners, and external vendors.
- Professional availability for full-time employment in Dubai, UAE, with a notice period of 30 days or less.
Nice-to-Have Skills
- Professional certifications such as AWS Certified Solutions Architect Professional, Microsoft Certified: Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
- Prior working experience in telecommunications, government, public sector, or highly regulated enterprise industries.
- Hands-on familiarity with vector databases, embedding pipelines, and enterprise AI orchestration frameworks (e.g., LangChain, LlamaIndex).
- Experience managing multi-million-dollar technology budgets and negotiating vendor contracts.
- Advanced degrees (Master’s or PhD) in Artificial Intelligence, Computer Science, or Data Analytics.
Application Information
- Salary/Rate: Competitive executive package commensurate with experience
- Deadline: Open until filled
- Notice Period: 30 Days or less (Must be currently residing in the UAE)
- Contract Duration: Permanent / Full-time (On-site in Dubai)
Recruitment Pro Tip
When applying for senior executive Data & AI leadership roles in the UAE telecom sector, ensure your resume explicitly highlights your experience shaping multi-cloud AI architectures, managing CXO stakeholders, and driving multi-million-dollar analytics deliveries.