Associate - Data & AI Strategy (Qatari National)

Support the development of Data & AI transformation strategies, business cases, and value‑driven recommendations for government and enterprise clients.
Assist in analyzing and structuring business challenges using research, data analysis, and hypothesis‑driven problem‑solving approaches.
Conduct market research and benchmarking on global and regional trends in Data & AI, Generative AI, sovereign AI, and digital transformation.
Contribute to the identification, assessment, and prioritization of Data & AI use cases aligned with client strategic objectives and business value.
Participate in client workshops, stakeholder discussions, and discovery sessions to gather insights and support solution development.
Produce high‑quality client deliverables including presentations, reports, analytical models, and workshop materials under guidance of senior team members.
Help develop implementation roadmaps, adoption plans, and value‑realization frameworks to enable measurable outcomes.
Collaborate with advisory and technical delivery teams to understand AI solution implementation, deployment approaches, and operational sustainability.
Contribute to proposal development, RFP responses, capability presentations, and business development activities by preparing research and supporting materials.
Actively participate in learning and capability development initiatives, continuously building expertise in consulting, Data & AI, analytics, and industry best practices.

Experience developing Data & AI transformation strategies, business cases, and recommendations for government or enterprise clients.
Ability to analyze and structure business challenges using research, data analysis, and hypothesis‑driven approaches.
Knowledge of market research and benchmarking on global and regional trends in Data & AI and digital transformation.
Experience in identifying, assessing, and prioritising Data & AI use cases that deliver client value.
Proficiency in facilitating client workshops, stakeholder discussions, and discovery sessions.
Skilled at delivering client deliverables such as presentations, reports, analytical models, and workshop materials.
Capability in supporting the creation of implementation roadmaps, adoption plans, and value‑realization frameworks.
Collaborative mindset for working with advisory and technical delivery teams on AI solution implementation and deployment.
Active participation in business development, proposal creation, and RFP response activities.

Bachelor’s degree in computer science, information technology, engineering or a related field from a recognised university. A master’s degree (MBA, MSc) or professional certifications in analytics, AI, or strategy are preferred.
0‑2 years of experience in consulting, analytics, business transformation, data science, or similar problem‑solving roles.
Strong academic performance and evidence of leadership potential through extracurricular or professional activities.
Exposure to Data & AI, digital transformation, or analytics initiatives through internships, project work, or academic research is an advantage.
Demonstrated entrepreneurial mindset, intellectual curiosity, and comfort with ambiguity.

See also