AI Business Specialist (Technology), Ooredoo Group of Companies, Doha, Qatar

This job is OPEN to APPLY for ALL Nationalities, unless otherwise specified.

We need a  AI Business Specialist (Technology),

Our business landscape

We're an award-winning global communications company operating in nine countries across the Middle East, North Africa, and Southeast Asia. Our strategy is to become the region's leading digital infrastructure provider. Ooredoo Group's strategic vision is guided by five key pillars:

• 
  Value-Focused Portfolio:
  Boosting asset returns by focusing on telco operations, towers, data centres, the sea
  cable business and fintech.

• Strengthen the Core:
  Optimally using deployed capital and
  maintain an appropriate cost structure.

• Evolve the Core:
  Monetising opportunities to generate new revenue streams via programmes focusing
  on analytics, digitalisation of operations, and partnerships with digital service providers.

• People:
  Building an engaged and empowered workforce through integrated learning programs and coaching and mentoring.

• Excellence in Customer Experience:
  Creating superior customer experiences.

From day one, every employee who joins our team becomes an integral part of our success journey.
We offer you the chance to enhance your skills, advance your career, and maintain a healthy work-
life balance. Empowering you to catapult your personal and professional growth. If you're looking
to challenge your growth potential, Ooredoo is the employer for you.

Job overview

The AI Business Specialist will serve as a liaison between the AI development teams and business units across the organization. This role is critical in ensuring that AI solutions align with business goals that drive value in revenue generation and operational excellence. The successful candidate will work on AI initiatives within the organization, translating business needs into technical requirements and ensuring AI projects deliver measurable business outcomes.

Your impact on our goals

• 
  Stakeholder Engagement: Collaborate with business, technical and operational units across OpCos and OG to identify opportunities for AI solutions that drive revenue growth and operational efficiencies. Ensure alignment of technical AI solutions with overarching business objectives.

• Requirements Gathering: Work closely with business and technical teams to define AI project requirements, ensuring that the scope is aligned with business needs and expectations and that the AI project scope is feasible and optimized for technical implementation.

• Business Case Development: Develop business cases and ROI analyses for AI projects, justifying investments in AI initiatives and tracking performance metrics post-implementation.

• AI Strategy Development: Contribute to the development and implementation of a comprehensive AI strategy aligned with the overall business strategy. Ensure that AI projects contribute to revenue growth and operational excellence.

• Project Management: Oversee the lifecycle of AI projects from ideation to implementation, ensuring that projects are delivered on time, within scope, and meet business objectives.

• Champion AI Adoption: Act as the internal advocate for AI solutions, driving organizational awareness and buy-in for AI initiatives. Provide leadership in change management, helping business units adopt AI technologies.

• Industry Analysis: Stay updated on industry trends, competitor AI strategies, and emerging AI technologies. Leverage insights to identify potential new AI use cases for the business.

• Communication: Ensure clear communication between technical teams (AI Engineers, Data Scientists) and business stakeholders to align expectations and project deliverables.

• Performance Monitoring: Work with Data Engineers and Data Scientists to track the performance of AI models in production, ensuring they continue to meet business goals and provide actionable insights.

Experience

• 
  5+ years of experience in a business/technical analysis or similar role within a technology-driven organization.

• Strong understanding of AI and machine learning technologies and their potential business applications.

• Excellent communication and stakeholder management skills.

• Proven track record of managing AI or data-driven projects that have delivered measurable business value.

• Ability to analyse and interpret complex data to inform business decisions.

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