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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

Technical Product Owner – Data Science & AI Platform

United Arab Emirates Emirates Estimated salary: AED 30,000–45,000 per month, typically tax-free, depending on experience and benefits
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The Technical Product Owner will lead the strategy, roadmap and delivery of Emirates’ data science and artificial intelligence platform. The role typically requires experience in product ownership, data platforms, machine learning or AI solutions, agile delivery, stakeholder management and translating business needs into technical requirements. Familiarity with cloud technologies, data engineering, model deployment, governance, security and analytics is expected. Candidates should be able to work with data scientists, engineers and business leaders, prioritise backlogs, define measurable outcomes and manage delivery across multiple teams. Strong communication, commercial awareness, problem-solving ability and experience delivering enterprise-scale digital products are important. Knowledge of airline operations or large, complex organisations would be advantageous.

About the employer

Emirates is the international airline of the Emirates Group, headquartered in Dubai, United Arab Emirates. Established in 1985, it has grown into one of the world’s best-known long-haul carriers, operating a large fleet and connecting Dubai with destinations across Europe, Asia, Africa, the Americas and Australasia. The airline is recognised for its international workforce, premium onboard service and investment in technology, aircraft and customer experience. Emirates also works closely with dnata and other Emirates Group businesses across aviation, travel and airport services. Employees may receive benefits such as tax-free pay, travel privileges, medical cover and relocation support, depending on their position and employment terms. Technology teams support areas including artificial intelligence, data science, digital customer services, operations, revenue management and enterprise platforms.

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