Consultant-DATA/ AI

To work directly with senior client stakeholders and be hands-on in research, analysis, workshop design, and deliverable production.

Qualifications

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

Responsibilities

Client advisory and delivery

• Support Data & AI strategy engagements: current-state assessments, maturity diagnostics, target operating models, roadmaps, and business cases.
• Lead the analysis behind use case identification and prioritization: discovery workshops, value/feasibility scoring, sizing benefits, and building use case portfolios.
• Support agentic process reinvention: map end-to-end processes, identify where AI agents and automation can redesign work, define human-in-the-loop controls and target workflows.
• Contribute to data strategy, data governance and Responsible AI work, aligned with Qatar's data protection and AI regulations and guidelines.
• Produce high-quality, executive-ready deliverables (storylines, slides, reports) in consulting standards.
• Coordinate with delivery, architecture, and partner teams to ensure recommendations are implementable.

Building the practice

• Support in developing and maintaining malomatia's reusable advisory toolkit: AI maturity assessment, use case library by sector, prioritization framework, agentic process reinvention methodology, business case templates and Responsible AI checklist.
• Package service offerings (e.g. Data and AI Strategy, AI Use Cases Discovery, etc..) with clear scope, pricing inputs and sample deliverables.
• Support business development: proposals, RFP responses, client pitches, and credentials.
• Track market, technology and vendor developments (hyperscalers, LLM and agent platforms, partner ecosystem) and turn them into practical insights and thought leadership.
• Help capture lessons learned and case studies to build institutional knowledge.