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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.
Key Skills
Ranked by relevance
ai
artificial intelligence
prototyping
cloud
aws
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- Posted
- Nov 17, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Muscat
- Company
- Norconsult Telematics
Industries
Information Services
Technology
Information
Media
Categories
Design
Engineering
Product Management
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