Abu Dhabi, Abu Dhabi, United Arab Emirates
Actively hiring, first seen by us 3 hours agoDefine and drive the organization's Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent.
Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership.
Lead the AI/ML lifecycle from research and prototyping through deployment and monitoring to improve detection accuracy, reduce false positives and uncover new use cases.
Key Responsibilities Define and drive the organization's Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent. Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership.
Define and drive the organization's Data & AI strategy, covering data infrastructure, AI/ML models, partnerships and talent. Own P&L for Data & AI across MENA, setting the strategic growth path for transformation, sales growth and operational leadership. Establish and grow regional delivery centers serving MENA, UK & Europe.
Establish and grow regional delivery centers serving MENA, UK & Europe. Lead the AI/ML lifecycle from research and prototyping through deployment and monitoring to improve detection accuracy, reduce false positives and uncover new use cases. Create and scale unified DataOps, BI/DW and AI teams for Advanced Analytics using agile practices across tools, code and cloud infrastructure.
15+ years in Data & AI, including P&L ownership, Go-To-Market and Delivery Excellence across MENA, UK & Europe.
Experience at Tier 1 advisory, consulting or large systems integrator firms, preferably with an onsite-offshore model.
Proven leadership in end-to-end Data transformations and enterprise-scale data platforms across multiple countries and verticals.
Experience in ethical AI, regulatory compliance and explainable AI.
Experience building, growing and mentoring large, diverse teams including senior managers and Data & AI capability leaders.
Experience orchestrating global, matrixed deal structuring teams across TCO, multi-tower, digital, consulting and managed services deal types.
- Strategic thinking to align technology with business objectives. - Education: Bachelor's degree, MBA. Good to Have
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- Define and execute enterprise Data & AI strategy covering architecture, data platform roadmaps and productization of AI models. - Provide architectural guidance and hands-on oversight across Azure Data Services (Data Factory, Synapse, Data Lake), Azure Analytics, Databricks, GCP and Informatica. - Review and validate data engineering pipelines, cloud architecture designs, data platform builds and AI/ML model deployments, embedding data governance, data quality, security and compliance best practices.
- Proven leadership in end-to-end Data transformations and enterprise-scale data platforms across multiple countries and verticals. - Deep hands-on expertise in Azure Data Services, Databricks, Informatica, Snowflake and GCP, with strong command of data engineering, cloud architecture and AI/ML model lifecycle. - In-depth knowledge of end-to-end Data & AI practices, architectures, ML techniques and Data/AI trends and transformation.
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Yes. We’ve followed 5 other AI Data Lead jobs there since November 2026. All 5 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Arabic ,English
The AI Data Leader spearheads the organization's data and AI strategy, aligning it with business goals and product priorities in a player–coach capacity that blends technical depth with strategic vision while mentoring and developing teams.
We are looking for an entrepreneurial, value-driven senior Data & AI executive with 15+ years leading Data and AI transformations across MENA, UK & Europe, proven in Data & AI practice pipeline forecasting, P&L ownership, Go-To-Market and Delivery Excellence, who builds high-performing diverse teams, delivers enterprise-scale data platforms, AI/ML Ops and responsible AI programs, and translates complex technical capability into measurable business outcomes as a trusted C-suite advisor and industry thought leader.
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Abu Dhabi, Abu Dhabi, United Arab Emirates
- Experience building, growing and mentoring large, diverse teams including senior managers and Data & AI capability leaders. - Development and delivery oversight across cloud, on-prem and hybrid models. - Strategic thinking to align technology with business objectives.
No clear work-authorization passage found. Eligibility is unconfirmed.