Consultant-DATA/ AI

Role overview

Client advisory and delivery

• Support Data & AI strategy engagements, including current-state assessments, maturity diagnostics, target operating models, roadmaps, and business cases.
• Lead use case analysis and prioritization through discovery workshops, value and feasibility scoring, benefits sizing, and portfolio development.
• Support agentic process reinvention by mapping processes, identifying AI agent and automation opportunities, and defining human-in-the-loop controls and target workflows.
• Contribute to data strategy, data governance, and Responsible AI work aligned with Qatar data protection and AI regulations and guidelines.
• Produce executive-ready storylines, slides, and reports to consulting standards.
• Coordinate with delivery, architecture, and partner teams to ensure recommendations are implementable.

Building the practice

• Develop and maintain reusable advisory tools, including AI maturity assessments, sector use case libraries, prioritization frameworks, process reinvention methods, business case templates, and Responsible AI checklists.
• Package service offerings with clear scopes, pricing inputs, and sample deliverables.
• Support business development through proposals, RFP responses, client pitches, and credentials.
• Track market, technology, and vendor developments, including hyperscalers, LLM and agent platforms, and partners, and turn them into practical insights and thought leadership.
• Capture lessons learned and case studies to build institutional knowledge.

Qualifications

• Bachelor's degree in engineering, Computer Science, or a related field; a master's degree is a plus.
• 2–4 years of experience, ideally in a Tier 1 or Tier 2 strategy, management, or technology consulting firm, in Data & AI engagements.
• Hands-on experience in at least two of the listed areas: Data & AI strategy, use case identification and prioritization, AI/data operating models, AI delivery, process redesign or automation, or data governance.
• Solid understanding of machine learning, GenAI/LLMs, AI agents, agentic workflows, and their practical business applications and limits.
• Strong structured problem-solving and storytelling skills; excellent PowerPoint and Excel skills.
• Confidence facilitating workshops and engaging senior stakeholders.
• Fluency in English and Arabic is preferable.
• AI, data, or cloud certifications are listed as examples, including Azure AI Fundamentals, DAMA CDMP, and Google equivalents.
• GCC or Qatar market experience is a nice-to-have.
• Familiarity with AI maturity, value realization, and Responsible AI frameworks and relevant regulations is a nice-to-have.
• Exposure to low-code/automation or agent platforms such as Microsoft Copilot Studio or Azure AI is a nice-to-have.