Posting Location: Muscat, Oman

Position Objectives:

• Assess the organization’s AI readiness and conduct comprehensive maturity evaluations.
• Identify and prioritize applied AI/ML opportunities across key business domains.
• Translate organizational challenges into actionable and data-driven AI strategies.
• Support feasibility studies, ROI analysis, and pilot-level evaluations for AI use cases.
• Provide insights that guide the development of an enterprise-wide AI adoption roadmap.
• Strengthen AI governance, ethics, and responsible AI foundations within the organization.
• Collaborate with cross-functional teams to align AI initiatives with strategic objectives.
• Facilitate knowledge transfer and ensure clear communication of AI concepts to stakeholders.

Job Description & Responsibilities:

• Conduct AI readiness and maturity assessments covering data, infrastructure, governance, and talent.
• Identify, analyze, and prioritize applied AI/ML opportunities across organizational functions.
• Translate business challenges into feasible AI use cases with measurable value and clear outcomes.
• Perform preliminary research, feasibility studies, and ROI assessments for proposed AI initiatives.
• Support the design of AI opportunity scoring models and prioritization frameworks.
• Prepare detailed reports, presentations, and recommendations for leadership and stakeholder review.
• Work with cross-functional teams to validate use cases and guide early-stage prototyping or pilot evaluations.
• Advise on AI governance, responsible AI principles, and compliance considerations.
• Provide conceptual guidance on data preparation, feature analysis, and model evaluation steps.
• Monitor emerging AI trends—including GenAI, Agentic AI, and multimodal AI—to inform strategic decisions.
• Contribute to the development of the organizational AI roadmap and transformation plans.
• Engage stakeholders to ensure alignment, clarity, and buy-in on AI initiatives.
• Support knowledge transfer, capacity building, and AI awareness programs within the organization.

Qualification & Experience:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 6+ years of experience in AI/ML analysis, strategy, consulting, or advisory roles.
• Proven experience in identifying, evaluating, and prioritizing AI/ML use cases across business domains.
• Exposure to digital transformation programs with a focus on AI, data, or analytics components.
• Familiarity with Responsible AI principles, ethical AI frameworks, and data governance practices.
• Conceptual understanding of data preparation, feature engineering, and model evaluation methodologies.
• Ability to conduct feasibility studies and assess ROI for applied AI initiatives.
• Strong analytical, documentation, and presentation skills for communicating insights to stakeholders.
• Certifications in AI/ML, Data Science, Cloud AI, or Responsible AI (AWS, Azure, Google, Coursera, etc.).
• Participation in workshops or training programs related to AI strategy, governance, or ethics.
• Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.