
Emirates Investment Authority
Data & AI Manager (Sovereign Wealth Fund)
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 26/04/2026
Job overview
Date posted
12/03/2026
Location
Abu Dhabi, United Arab Emirates
Salary
AED 30,000 - 40,000 per month
Compensation
Comprehensive package
Job description
The Data & AI Manager at EIA in Abu Dhabi is responsible for defining and executing the organization’s data, analytics, and AI strategy within a sovereign wealth fund context. The role focuses on enabling data-driven decision-making across investment and corporate functions by building scalable data platforms, advanced analytics capabilities, and AI use cases. Responsibilities include establishing enterprise-wide data governance frameworks, implementing standards for data quality, ownership, and analytics principles, and promoting adoption of AI and analytics across investment and corporate teams. The Manager oversees the full AI use-case lifecycle, from identification and business case development to delivery and adoption, ensuring alignment with business objectives and reliable data foundations. The role involves developing dashboards, predictive models, and decision-support tools to enhance investment performance, risk management, strategic planning, and operational efficiency. The Manager collaborates closely with IT and external partners for platform delivery and operations while ensuring responsible and ethical use of AI, human oversight, transparency, and explainability. The position requires building and developing data and analytics capabilities across teams, promoting knowledge-sharing, and supporting capability uplift through training, tools, and data literacy initiatives. Key deliverables include enterprise data platforms, standardized analytics dashboards, AI use cases supporting investment and strategy teams, data governance frameworks, and insight-driven support for strategic initiatives.
Required skills
Key responsibilities
- Define and lead EIA’s Data & AI Strategy, ensuring alignment with the Digital Strategy, investment priorities, and corporate strategy.
- Establish enterprise-wide data governance frameworks including data quality standards, ownership models, analytics principles, and metadata management practices.
- Identify, prioritize, and sequence AI and advanced analytics use cases that deliver measurable business value across investment and corporate functions.
- Oversee data architecture and analytics platforms in collaboration with IT, ensuring scalability, security, governance, and alignment with business requirements.
- Develop dashboards, predictive models, decision-support tools, and AI-enabled solutions including forecasting, pattern detection, and advanced analytics applications.
- Ensure responsible AI adoption, including human-in-the-loop principles, transparency, explainability, and AI literacy programs in partnership with Risk, Compliance, and HR.
- Collaborate with business stakeholders to translate requirements into data and AI solutions, drive adoption, and provide insight-driven support for strategic initiatives.
- Build and develop data and analytics capabilities across teams, promoting knowledge-sharing, best practices, and capability uplift through training and literacy initiatives.
Experience & skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.
- 8–12 years of experience in data, analytics, or AI roles within complex organizations; experience in sovereign wealth funds, asset owners, or investment managers preferred.
- Proven experience delivering enterprise analytics platforms and AI-driven solutions.
- Strong understanding of data platforms, cloud-based analytics, modern analytics stacks, and machine learning concepts.
- Technical expertise in data architecture, analytics platforms, reporting tools, and predictive modeling.
- Experience implementing data governance, quality management, and metadata practices.
- Ability to translate complex data insights into actionable business outcomes.
- Excellent stakeholder engagement, communication, and collaboration skills.