Consultant - Strategy Lead AI

Job Description

The role exists to help malomatia turn AI ambition into practical, measurable, and adopted outcomes. This includes supporting internal AI initiatives through the AI Hub, while also leading or contributing to client‑facing AI strategy and advisory engagements. The role will help ensure that AI initiatives are not limited to concepts or presentations, but are translated into clear use cases, business cases, adoption plans, delivery roadmaps, and measurable value.

• Experience in consulting, analytics, product management, strategy, or business and digital transformation roles.
• Exposure to Data & AI, analytics, automation, GenAI, digital products, or technology‑enabled transformation initiatives.
• Experience supporting or leading AI‑related engagements, transformation programs, workshops, business cases, and strategic initiatives.
• Ability to conduct research, benchmarking, analysis, stakeholder discussions, and structured executive deliverables.
• Ability to identify and structure AI‑driven opportunities based on business problems and strategic objectives.
• Experience translating business challenges into actionable AI, Data, automation, or digital solution concepts.
• Experience facilitating workshops, stakeholder alignment sessions, and use case prioritisation activities.
• Understanding of AI use case definition, value realisation, adoption planning, and change enablement.
• Experience working with cross‑functional business and technical teams to ensure feasibility, usability, adoption, and measurable impact.
• Track record of contributing to or leading client engagements and/or internal strategic initiatives with measurable business outcomes.
• Ability to shape AI roadmaps, governance principles, operating approaches, and value realisation models.
• Experience advising senior stakeholders and supporting strategic decision‑making related to AI and digital transformation.

• Structured problem solving using hypothesis‑driven approaches.
• Pyramid‑based communication and executive storytelling.
• Stakeholder management across business and technology.
• Business case development and value modelling.
• Use case identification, prioritisation, and scoping.
• AI strategy roadmap definition.
• Operating model principles and governance design.
• Product thinking and Data & AI solution conceptualisation.
• Adoption planning for digital and AI solutions.
• Workshop facilitation and stakeholder alignment.
• Familiarity with data platforms, AI, GenAI, automation, and responsible AI is preferred but not required as deep technical expertise.

• Understanding of Data & AI ecosystems, including modern data platforms and AI capabilities.
• Understanding of AI, GenAI, analytics, automation, and AI‑enabled product lifecycle.
• Business and financial modelling.
• Strategy frameworks and transformation methodologies.
• Digital and AI product lifecycle understanding.
• Ability to assess AI use cases from value, feasibility, adoption, data readiness, and risk perspectives.
• Familiarity with responsible AI, AI governance, human‑in‑the‑loop practices, privacy, and security considerations.

• Strong problem‑solving and analytical mindset.
• Clear and concise communication skills.
• Ability to influence senior stakeholders.
• Strong focus on value realisation and user adoption.
• Entrepreneurial mindset and ownership.
• Collaboration across cross‑functional teams.
• Ability to operate in ambiguity and structure new initiatives.
• Practical mindset focused on execution and outcomes.

Desired Educational Background
:

• Required:
  
  Bachelor’s Degree in Business, Engineering, Computer Science, Economics, Information Systems, Data Science, or a related field.
• Preferred:
  Master’s Degree, MBA, MSc, or relevant certifications in strategy, analytics, AI, product management, digital transformation, or change management.

• English: mandatory
• Arabic: preferred