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Data Architect

Xebia

Dubai

On-site

AED 200,000 - 300,000

Full time

2 days ago
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Job summary

A prominent technology consulting firm seeks a Data & AI Leader with 15 years of experience to drive their MEA practice. This role involves pre-sales solutioning, transformation delivery, and leading high-performance teams in AI consulting. The ideal candidate has a strong background in cloud platforms and deep technical expertise, alongside excellent stakeholder management skills.

Qualifications

  • 15+ years of experience in Data, Analytics, and AI domains.
  • Proven leadership in data-driven transformation programs.
  • Excellent communication and storytelling skills.

Responsibilities

  • Lead AI & data transformation engagements across sectors.
  • Deliver strategic transformation programs for clients.
  • Build a high-performance team of AI consultants.

Skills

Data-driven transformation
Client-facing pre-sales
Generative AI
Stakeholder management
Machine Learning lifecycle

Education

Bachelor's or Master's in Computer Science

Tools

Azure
AWS
GCP

Job description

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Manager- Talent Acquisition at Xebia India| Driving TA & Organisational Excellence for India and Middle East Region|| Ex-Publicis || Ex- Capgemini

We are seeking a visionary and hands-on Data & AI Leader having 15 years of experienc e to run the Data and AI practice in MEA. He will be responsible for Growth, Practice development, end-to-end customer engagements, Alliances, thought leadership, and innovation. He will also be responsible for pre-sales solutioning to delivering strategic transformation programs . This role blends deep technical expertise, business acumen, and P&L responsibility to lead client conversations, craft compelling solutions, and ensure delivery of high-impact data and AI-driven transformation.

Key Responsibilities :

Pre-Sales & Solution Engineering

  • Engage with enterprise and government clients to understand their business needs and data maturity.
  • Design and present tailored solutions leveraging AI, ML, Data Engineering, Generative AI, and modern cloud-native platforms (e.g., Azure, AWS, GCP).
  • Lead RFP responses, technical proposal development, and effort estimation.
  • Collaborate with alliance teams (e.g., Microsoft, AWS, Databricks) for joint GTM opportunities.
  • Conduct workshops and technical demos to evangelize capabilities.

Transformation Delivery Leadership

  • Lead and oversee AI & data transformation engagements across sectors (e.g., BFSI, Public Sector, Healthcare, Telco).
  • Ensure the successful delivery of programs—data modernization, AI PoCs to production deployments, intelligent automation, etc.
  • Guide solution architects, data scientists, and engineering teams on best practices, reference architectures, and accelerators.
  • Act as the senior SME to help unblock delivery challenges and ensure customer success.

Practice & Capability Development

  • Build and groom a high-performance team of AI consultants, engineers, and analysts.
  • Define reusable frameworks, AI accelerators, and reference architectures.
  • Stay current with trends in Generative AI, Agentic AI, LLMOps, and Responsible AI.
  • Contribute to thought leadership (whitepapers, blogs, webinars, etc.)

Key Skills & Experience :

  • 15+ years of experience in Data, Analytics, and AI domains, with at least 8+ years in a client-facing pre-sales / advisory capacity and leadership role
  • Proven experience in leading data-driven transformation programs on cloud platforms (Azure / AWS / GCP).
  • Strong understanding of ML lifecycle, Generative AI, LLM fine-tuning, Prompt Engineering, and MLOps.
  • Experience working with enterprise clients in the Middle East is a strong advantage.
  • Excellent communication, storytelling, and stakeholder management skills.

Preferred Qualifications :

  • Bachelor’s or master’s in computer science, Engineering, Data Science, or equivalent.
  • Certifications in Azure AI Engineer, AWS Machine Learning, or GCP Data Engineering.
  • Prior experience with consulting firms or digital transformation service providers.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology, Engineering, and Other

IT Services and IT Consulting

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