Data & AI Strategy Advisor

Malomatia; Doha; On-site; QAR 120,000 - 180,000; Full time

Job summary

Malomatia is seeking a Data & AI strategy consultant to work with senior client stakeholders in Qatar, leading discovery workshops, identifying and prioritizing AI use cases, and delivering actionable roadmaps and business cases.

You will map end-to-end processes, design agentic/automation opportunities, and contribute to data governance and Responsible AI while collaborating with delivery and partner teams.

Qualifications

• Bachelor's degree in engineering, CS, or related field; master's preferred.
• 2–4 years experience in Data & AI engagements in consulting.
• Hands-on in two of: Data & AI strategy, use case identification, AI operating models, delivery engagements, process redesign, data governance.
• Solid understanding of AI concepts and LLMs.
• Strong PowerPoint and Excel skills; storytelling and client workshop facilitation.

Responsibilities

• Support data & AI strategy engagements: current-state assessments, maturity diagnostics, roadmaps, and business cases.
• Lead use case identification and prioritization via discovery workshops and value/feasibility scoring.
• Map end-to-end processes and define human-in-the-loop controls and workflows.
• Contribute to data governance and Responsible AI aligned with regulations.
• Coordinate with delivery, architecture, and partner teams to ensure implementable recommendations.
• Develop advisory toolkit and market insights for thought leadership.

Skills

Structured problem-solving

Storytelling

English language

Arabic language

Education

Bachelor's degree in engineering, Computer Science or related field

Master's degree is a plus

Tools

PowerPoint

Excel

Job description

Malomatia is seeking a Data & AI strategy consultant to work with senior client stakeholders in Qatar, leading discovery workshops, identifying and prioritizing AI use cases, and delivering actionable roadmaps and business cases.

You will map end-to-end processes, design agentic/automation opportunities, and contribute to data governance and Responsible AI while collaborating with delivery and partner teams.