About the Role
This position involves direct engagement with senior client stakeholders, requiring hands-on participation in research, analysis, workshop design, and deliverable production within the realm of Data and AI strategies. The role encompasses advisory and delivery responsibilities while also contributing to the development of the practice.
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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 by mapping end-to-end processes, identifying opportunities for AI agents and automation to redesign work, and defining human-in-the-loop controls and target workflows.
- Contribute to data strategy, data governance, and Responsible AI initiatives, ensuring adherence to Qatar's data protection and AI regulations and guidelines.
- Produce high-quality, executive-ready deliverables (storylines, slides, reports) that meet consulting standards.
- Coordinate with delivery, architecture, and partner teams to ensure that recommendations are actionable and implementable.
Building the Practice
- Assist in developing and maintaining a 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., AI Strategy Sprint, GenAI/Agentic Use Case Discovery) with clear scope, pricing inputs, and sample deliverables.
- Support business development efforts through proposals, RFP responses, client pitches, and credentials presentations.
- Track developments in the market, technology, and vendor landscape (including hyperscalers, LLM and agent platforms, and partner ecosystem) and convert these into practical insights and thought leadership.
- Capture lessons learned and develop case studies to enhance institutional knowledge.
Qualifications
- Bachelor's degree in engineering, Computer Science, or a related field; a master’s degree is preferred.
- 2–4 years of experience, ideally in a Tier 1 or Tier 2 consulting firm (strategy, management, or technology consulting) with a focus on Data & AI engagements.
- Hands-on experience in at least two of the following areas: Data & AI strategy, use case identification and prioritization, AI/data operating models, AI delivery engagements, process redesign or automation, and data governance.
- A solid understanding of AI concepts, including machine learning, GenAI/LLMs, AI agents and agentic workflows, as well as their practical business applications and limitations.
- Strong structured problem-solving skills and storytelling ability; proficient in PowerPoint and Excel.
- A confident communicator capable of facilitating workshops and engaging with senior stakeholders.
- Fluency in English; proficiency in Arabic is preferred.
- Relevant certifications in AI, data, or cloud (e.g., Azure AI Fundamentals, DAMA CDMP, Google equivalents).
Nice to Have
- Experience with the GCC/Qatar market.
- Familiarity with consulting frameworks for AI maturity, value realization, and Responsible AI, in addition to relevant regulations.
- Exposure to low code/automation or agent platforms (e.g., Microsoft Copilot Studio, Azure AI, or similar).
